Helge Ritter

helge@techfak.uni-bielefeld.de
ORCID logo https://orcid.org/0000-0003-1703-1906

PEVZ-ID
91130

582 Publikationen

Alle markieren

  • [582]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3002099
    Lach, L.M., et al., 2024. Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE International Conference on Intelligent Robots and Systems. New York: IEEE, pp. 725-732.
    PUB | DOI | WoS
     
  • [581]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2992566 OA
    Cienfuegos, M., et al., 2024. Comparative analysis of motor skill acquisition in a novel bimanual task: the role of mental representation and sensorimotor feedback. Frontiers in Human Neuroscience, 18, p 1-21.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [580]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3000568
    Moringen, A., et al., 2024. Generating Piano Practice Policy with a Gaussian Process. In M. Ananda, et al., eds. AI for Education Workshop, 26-27 February 2024, Vancouver Convention Center, Vancouver, Canada. Proceedings of Machine Learning Research. no.257 Cambridge, Massachusetts: MIT Press, pp. 151-161.
    PUB | WoS
     
  • [579]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2992107 OA
    Cienfuegos, M., et al., 2024. Exploring motor skill acquisition in bimanual coordination: insights from navigating a novel maze task. Scientific reports, 14(1): 1-17.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [578]
    2024 | Preprint | Entwurf | PUB-ID: 2994266
    Krieger, K., et al., Draft. Adaptive Kinematic Modeling for Improved Hand Posture Estimates Using a Haptic Glove.
    PUB | DOI | Download (ext.)
     
  • [577]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2994149
    Limberg, C., et al., 2024. Deep Detection Dreams: Enhancing Visualization Tools for Single Stage Object Detectors. In Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023. Communications in Computer and Information Science . no.2103 Cham: Springer , pp. 123-134.
    PUB | DOI | WoS
     
  • [576]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993275
    Schilling, M., Ritter, H., & Ohl, F.W., 2024. Linking meta-learning to meta-structure. Behavioral and Brain Sciences , 47: e164.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [575]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988533 OA
    Melnik, A., et al., 2024. Face Generation and Editing With StyleGAN: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5), p 3557-3576.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [574]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992216
    Rothgänger, M., Melnik, A., & Ritter, H., 2024. Shape Complexity Estimation Using VAE. In INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 3, INTELLISYS 2023. Lecture Notes in Networks and Systems. no.824 Cham: Springer International Publishing Ag, pp. 35-45.
    PUB | DOI | WoS
     
  • [573]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983878 OA
    Lach, L.M., et al., 2023. Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing. In Proc. IROS.
    PUB | PDF
     
  • [572]
    2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2983934 OA
    Lach, L.M., et al., 2023. Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing. In RoboTac workshop @ IROS.
    PUB | PDF
     
  • [571]
    2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2983936 OA
    Lach, L.M., et al., 2023. Tactile Sensing for Stable Object Placing. In TouchProcessing workshop @ NeurIPS.
    PUB | PDF
     
  • [570]
    2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2983939 OA
    Lach, L.M., et al., 2023. Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot. In TouchProcessing workshop @ NeurIPS.
    PUB | PDF
     
  • [569]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2981189
    Weitnauer, E., Goldstone, R.L., & Ritter, H., 2023. Perception and simulation during concept learning. Psychological Review .
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [568]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968921
    Schilling, M., et al., 2023. Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cognitive Computation.
    PUB | DOI | WoS
     
  • [567]
    2022 | Konferenzbeitrag | PUB-ID: 2964379
    Lach, L.M., et al., 2022. Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers. In Proceedings IROS.
    PUB
     
  • [566]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963813
    Li, Q., et al., 2022. Robotic dexterous manipulation: from tele-operation to autonomous learning and adaptive control. Complex & Intelligent Systems .
    PUB | DOI | WoS
     
  • [565]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2963774 OA
    Tamir-Ostrover, H., et al., 2022. Automatic Evaluation of Aspects of Performance and Scheduling in Playing the Piano. Presented at the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Barcelona.
    PUB | PDF
     
  • [564]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099 OA
    Melnik, A., et al., 2021. Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Frontiers in Robotics and AI, 8: 538773.
    PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [563]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958662
    Schilling, M., et al., 2021. Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks, 144, p 699-725.
    PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [562]
    2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2957232
    Vernon, D., et al., 2021. Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective. Topics in cognitive science.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [561]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958663
    Schilling, M., et al., 2021. From Adaptive Locomotion to Predictive Action Selection – Cognitive Control for a Six-Legged Walker. IEEE Transactions on Robotics, , p 1-17.
    PUB | DOI | Download (ext.) | WoS
     
  • [560]
    2021 | Preprint | PUB-ID: 2960158
    Moringen, A., et al., 2021. Optimizing piano practice with a utility-based scaffold. arXiv:2106.12937.
    PUB | arXiv
     
  • [559]
    2021 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2960159 OA
    Moringen, A., Fleer, S., & Ritter, H., 2021. Meta-learning Haptic Exploration of Simple 3D Objects. In 2021 IEEE World Haptics Conference. Piscataway, NJ: IEEE.
    PUB | PDF
     
  • [558]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2958668
    Lach, L., et al., 2021. Guiding Representation Learning in Deep Generative Models with Policy Gradients. In B. Dorronsoro, et al., eds. Optimization and Learning. 4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings. Communications in Computer and Information Science. Cham: Springer International Publishing, pp. 115-131.
    PUB | DOI
     
  • [557]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952759 OA
    Naceri, A., et al., 2021. Learning Optimal Impedance Control During Complex 3D Arm Movements. IEEE Robotics and Automation Letters, 6(2), p 1248-1255.
    PUB | PDF | DOI | WoS
     
  • [556]
    2020 | Konferenzbeitrag | PUB-ID: 2945884 OA
    Bach, N., et al., 2020. An error-based addressing architecture for dynamic model learning. In 6th International Conference, LOD 2020, Siena, Italy, Proceedings. Lecture Notes in Computer Science. Springer International Publishing.
    PUB | PDF
     
  • [555]
    2020 | Konferenzbeitrag | PUB-ID: 2945886 OA
    Bach, N., et al., 2020. Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3. In 6th International Conference, LOD 2020, Siena, Italy, Proceedings. Lecture Notes in Computer Science. Springer.
    PUB | PDF
     
  • [554]
    2020 | Preprint | PUB-ID: 2948844
    Harter, A., et al., 2020. Solving Physics Puzzles by Reasoning about Paths. arXiv:2011.07357.
    PUB | Download (ext.) | arXiv
     
  • [553]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2944814 OA
    Kõiva, R., et al., 2020. Barometer-based Tactile Skin for Anthropomorphic Robot Hand. Presented at the International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA.
    PUB | Datei | DOI
     
  • [552]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092
    Limberg, C., Wersing, H., & Ritter, H., 2020. Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning Models. Machine Learning and Knowledge Extraction, 2(3), p 327-346.
    PUB | DOI | WoS
     
  • [551]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948542 OA
    Wobrock, D., et al., 2020. Using Fixation-Related Potentials for Inspecting Natural Interactions. Frontiers in Human Neuroscience, 14, p 1-15.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [550]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093
    Limberg, C., Wersing, H., & Ritter, H., 2020. Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. In H. Yang, et al., eds. Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Lecture Notes in Computer Science. no.12533 Cham: Springer International Publishing, pp. 738-749.
    PUB | DOI
     
  • [549]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094
    Limberg, C., et al., 2020. Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. In I. Farkaš, P. Masulli, & S. Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Lecture Notes in Computer Science. no.12397 Cham: Springer International Publishing, pp. 204-213.
    PUB | DOI
     
  • [548]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950233 OA
    Li, Q., et al., 2020. A Review of Tactile Information: Perception and Action Through Touch. IEEE Transactions on Robotics, 36(6), p 1619-1634.
    PUB | PDF | DOI | WoS
     
  • [547]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2945542 OA
    Meier, M., Haschke, R., & Ritter, H., 2020. From Geometries to Contact Graphs. In I. Farkas, P. Masulli, & S. Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. Proceedings. Part II. Lecture Notes in Computer Science. no.12397 Cham: Springer, pp. 546-555.
    PUB | PDF | DOI
     
  • [546]
    2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2943876 OA
    Moringen, A., et al., 2020. Attention-based Robot Learning of Haptic Interaction. In I. Nisky, et al., eds. Haptics: Science, Technology, Applications. 12th International Conference, EuroHaptics 2020, Leiden, The Netherlands, September 6–9, 2020, Proceedings. Lecture Notes in Computer Science. no.12272 Cham: Springer, pp. 462-470.
    PUB | PDF | DOI | Download (ext.)
     
  • [545]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939850 OA
    Fleer, S., et al., 2020. Learning efficient haptic shape exploration with a rigid tactile sensor array. PLOS ONE, 15(1): e0226880.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC | arXiv
     
  • [544]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943308
    Pfanne, M., et al., 2020. Object-Level Impedance Control for Dexterous In-Hand Manipulation. IEEE ROBOTICS AND AUTOMATION LETTERS, 5(2), p 2987-2994.
    PUB | DOI | WoS
     
  • [543]
    2019 | Konferenzbeitrag | PUB-ID: 2933988
    Melnik, A., et al., 2019. Modularization of End-to-End Learning: Case Study in Arcade Games. In 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Workshop on Causal Learning.
    PUB | arXiv
     
  • [542]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939836
    Melnik, A., et al., 2019. Combining Causal Modelling and Deep Reinforcement Learning for Autonomous Agents in Minecraft. Presented at the 4th Workshop on Semantic Policy and Action Representations for Autonomous Robots at IROS 2019, Macau.
    PUB | Download (ext.)
     
  • [541]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2935994
    Fleer, S., & Ritter, H., 2019. Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention. In Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019. Advances in Intelligent Systems and Computing . no.976 Cham: Springer, pp. 231-240.
    PUB | DOI | Download (ext.)
     
  • [540]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918864 OA
    Görner, M., et al., 2019. MoveIt! Task Constructor for task-level motion planning. Presented at the International Conference on Robotics and Automation (ICRA), Montreal.
    PUB | PDF | DOI
     
  • [539]
    2019 | Konferenzbeitrag | PUB-ID: 2935541
    Patzelt, F., Haschke, R., & Ritter, H., 2019. Conditional WGAN for grasp generation. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).
    PUB | Download (ext.)
     
  • [538]
    2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2959847
    Wobrock, D., et al., 2019. Resynchronizing Recordings Using Fixation-Related Potentials. Presented at the 41st Engineering in Medicine and Biology Conference (EMBC 2019), Berlin.
    PUB
     
  • [537]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2953757
    Krieger, K., Moringen, A., & Ritter, H., 2019. Number of Fingers and Grasping Orientation Influence Human Performance During Haptic Rotation. In 2019 IEEE World Haptics Conference (WHC). Piscataway, NJ: IEEE, pp. 79-84.
    PUB | DOI
     
  • [536]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936094
    Schilling, M., et al., 2019. Editorial: Shared Autonomy- Learning of Joint Action and Human-Robot Collaboration. Frontiers in neurorobotics, 13: 16.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [535]
    2019 | Datenpublikation | PUB-ID: 2936475 OA
    Fleer, S., et al., 2019. Supplementary Material - Learning efficient haptic shape exploration with a rigid tactile sensor array, Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [534]
    2019 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2937566
    Kõiva, R., et al., 2019. Towards high-density barometer-based tactile sensor arrays. In Workshop on New Advances in Tactile Sensation, Perception, and Learning in Robotics: Emerging Materials and Technologies for Manipulation (RoboTac 2019).
    PUB
     
  • [533]
    2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2941701
    Finke, A., et al., 2019. Unsupervised Clustering of Wakefulness Levels with Autoencoder Networks and Gaussian Mixture Models on EEG Single-Trial Data. Presented at the 41th International Engineering in Medicine and Biology Conference (EMBC '19), Berlin.
    PUB
     
  • [532]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939854
    Moringen, A., Fleer, S., & Ritter, H., 2019. Scaffolding Haptic Attention with Controller Gating. In I. V. Tetko, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation.28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I. Lecture Notes in Computer Science. no.11727 Cham: Springer, pp. 669-684.
    PUB | DOI | Download (ext.)
     
  • [531]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933709
    Fleer, S., & Ritter, H., 2019. Skill Transfer for Mediated Interaction Learning. In 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids). Piscataway, NJ: IEEE.
    PUB | DOI | Download (ext.)
     
  • [530]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939051 OA
    Limberg, C., et al., 2019. Active Learning for Image Recognition Using a Visualization-Based User Interface. In I. V. Tetko, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Lecture Notes in Computer Science. no.11728 Cham: Springer, pp. 495-506.
    PUB | PDF | DOI
     
  • [529]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936850 OA
    Bekemeier, H., Maycock, J., & Ritter, H., 2019. What Does a Hand-Over Tell?—Individuality of Short Motion Sequences. Biomimetics, 4(3): 55.
    PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [528]
    2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 3000763 OA
    Büscher, G., Haschke, R., & Ritter, H., 2018. Tactile Sensor Units for Robotic Hand Prosthesis. In G. Cheng & TU München, eds. International Workshop on Smart Skins. München.
    PUB | PDF
     
  • [527]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940661
    Kidziński, Ł., et al., 2018. Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. Presented at the 31nd Conference on Neural Information Processing Systems (NIPS 2017), Competition Track, Long Beach, USA.
    PUB | Download (ext.) | arXiv
     
  • [526]
    2018 | Kurzbeitrag Konferenz / Poster | Unveröffentlicht | PUB-ID: 2990317 OA
    Tandon, A., et al., Unpublished. Slip Detection and Grasp Force Adaptation with Tactile Sensor on an iLimb Hand Prosthesis. In G. Cheng & TU München, eds. International Workshop on Smart Skins. München.
    PUB | PDF
     
  • [525]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918157 OA
    Kõiva, R., et al., 2018. Mechatronic fingernail with static and dynamic force sensing. In International Conference on Intelligent Robots and Systems (IROS).
    PUB | PDF | DOI
     
  • [524]
    2018 | Patent | PUB-ID: 2913087
    Stahl, M., et al., 15.02.2018 Verfahren zur Unterstützung einer Getränke- und/oder Speisenzubereitung und Assistenzsystem.
    PUB
     
  • [523]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919121
    Finke, A., et al., 2018. Frequency Band Variations Predict EEG Single-Trial Classification Performance in Disorder of Consciousness Patients. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp. 1927-1930.
    PUB | DOI
     
  • [522]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920732 OA
    Krieger, K., et al., 2018. Influence of Shape Elements on Performance during Haptic Rotation. In Haptics: Science, Technology, and Applications 11th International Conference, EuroHaptics 2018, Proceedings, Part I. Lecture Notes in Computer Science. no.10893 Cham: Springer, pp. 125-137.
    PUB | PDF | DOI
     
  • [521]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939050
    Limberg, C., Wersing, H., & Ritter, H., 2018. Improving Active Learning by Avoiding Ambiguous Samples. In V. Kůrková, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2018. Lecture Notes in Computer Science. no.11139 Cham: Springer, pp. 518-527.
    PUB | DOI
     
  • [520]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2917731 OA
    Twardon, L., & Ritter, H., 2018. Learning to Put On a Knit Cap in a Head-Centric Policy Space. IEEE ROBOTICS AND AUTOMATION LETTERS, 3(2), p 764-771.
    PUB | Dateien verfügbar | DOI | WoS
     
  • [519]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2908550
    Schröder, M., et al., 2018. Design and Evaluation of Reduced Marker Layouts for Hand Motion Capture. Computer Animation and Virtual Worlds, 29(6): e1751.
    PUB | DOI | WoS
     
  • [518]
    2018 | Konferenzbeitrag | PUB-ID: 2920733 OA
    Moringen, A., et al., 2018. Modeling Target-Distractor Discrimination for Haptic Search in a 3D Environment. In IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.
    PUB | PDF
     
  • [517]
    2018 | Konferenzbeitrag | PUB-ID: 2930580 OA
    Li, Q., et al., 2018. Estimating an articulated tool's kinematics via visuo-tactile based robotic interactive manipulation. Presented at the IEEE IROS, Madrid,Spain.
    PUB | PDF
     
  • [516]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919074
    Li, Q., et al., 2018. Tactile Sensing for Manipulation. INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 15(1): 3.
    PUB | DOI | WoS
     
  • [515]
    2018 | Diskussionspapier | PUB-ID: 2920731 OA
    Moringen, A., Nowainski, J., & Ritter, H., 2018. Towards Reinforcement Learning of Haptic Search in 3D Environment,
    PUB | PDF
     
  • [514]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920497
    Limberg, C., Wersing, H., & Ritter, H., 2018. Efficient Accuracy Estimation for Instance-Based Incremental Active Learning. In ESANN 2018. Proceedings. no.26 Louvain-la-Neuve: i6doc, pp. 171-176.
    PUB
     
  • [513]
    2017 | Patent | PUB-ID: 2917497
    Kõiva, R., et al., 30.11.2017 Tür-Sicherheitsvorrichtung für eine Tür.
    PUB | Download (ext.)
     
  • [512]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2911886 OA
    Schröder, M., & Ritter, H., 2017. Hand-Object Interaction Detection with Fully Convolutional Networks. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. pp. 18-25.
    PUB | PDF
     
  • [511]
    2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2911888 OA
    Schröder, M., & Ritter, H., 2017. Deep Learning for Action Recognition in Augmented Reality Assistance Systems. In ACM SIGGRAPH 2017 Posters. pp. 75:1-75:2.
    PUB | PDF
     
  • [510]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2908932
    Naceri, A., et al., 2017. Multi-digit force control during unconstrained grasping in response to object perturbations. Journal of Neurophysiology, 117(5), p 2025-2036.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [509]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905944
    Neumann, A., et al., 2017. "KogniChef": A Cognitive Cooking Assistant. KI - Künstliche Intelligenz, 31(3), p 273-281.
    PUB | DOI | Download (ext.) | WoS
     
  • [508]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2908255
    Kim, S., Haschke, R., & Ritter, H., 2017. Gaussian Mixture Model for 3-DoF orientations. ROBOTICS AND AUTONOMOUS SYSTEMS, 87, p 28-37.
    PUB | DOI | WoS
     
  • [507]
    2017 | Patent | PUB-ID: 2913225
    Kõiva, R., et al., 13.04.2017 Method for operating a household appliance, control device and household appliance.
    PUB | Download (ext.)
     
  • [506]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914911
    Walck, G., et al., 2017. Robot Self-Protection by Virtual Actuator Fatigue: Application to Tendon-driven Dexterous Hands During Grasping. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: IEEE, pp. 2200-2205.
    PUB | DOI
     
  • [505]
    2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2913967
    Wobrock, D., et al., 2017. Fixation-Related Potentials as a Measure for Cognitive Demand in Visual Tasks on Single Trial Level. Presented at the European Conference on Eye Movements (ECEM 2017), Wuppertal.
    PUB
     
  • [504]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920726
    Moringen, A., et al., 2017. Haptic Search for Complex 3D Shapes Subject to Geometric Transformations or Partial Occlusion. In 2017 IEEE World Haptics Conference (WHC). Piscataway, NJ: IEEE, pp. 299-304.
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    Kaper, M., & Ritter, H., 2004. Towards a ready-to-use Brain-Computer Interface. In J. Jan, ed. Proceedings of 17th Biennal International EURASIP Conference BIOSIGNAL. Brno, Czech Republic: VUTIUM Press.
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    Ritter, H., 2004. Die neuen Denkmuster der Intelligenz. In B. Mutius von, ed. Die andere Intelligenz : wie wir morgen denken werden : ein Almanach neuer Denkansätze aus Wissenschaft, Gesellschaft und Kultur. Stuttgart: Klett-Cotta, pp. 118-134.
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    Koesling, H., & Ritter, H., 2003. Blickbewegungen bei perzeptiven Vergleichen von Position, Länge und Orientierung. In H. H. Bülthoff, et al., eds. 6. Tübinger Wahrnehmungskonferenz Sixth Perception Conference at Tübingen (TWK 2003). Kirchentellinsfurt, Germany: Knirsch.
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    Hermann, T., et al., 2002. Sonification for EEG Data Analysis. In R. Nakatsu & H. Kawahara, eds. Proceedings of the 2002 International Conference on Auditory Display. Kyoto, Japan: ICAD, pp. 37-41.
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    Hermann, T., Hansen, M.H., & Ritter, H., 2001. Sonification of Markov-chain Monte Carlo Simulations. In J. Hiipakka, N. Zacharov, & T. Takala, eds. Proceedings of 7th International Conference on Auditory Display. Helsinki University of Technology: Laboratory of Acoustics and Audio Signal Processing and the Telecommunications Software and Multimedia Laboratory, pp. 208-216.
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    2001 | Datenpublikation | PUB-ID: 2930310 OA
    Hermann, T., Hansen, M.H., & Ritter, H., 2001. Supplementary Material for "Sonification of Markov-chain Monte Carlo Simulations", Bielefeld University.
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    2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2618799
    Sagerer, G., et al., 2001. Integrating Recognition Paradigms in a Multiple-path Architecture. In S. Singh, N. Murshed, & W. Kropatsch, eds. Advances in Pattern Recognition - ICAPR 2001. Lecture notes in computer science. no.2013 Berlin: Springer, pp. 202-211.
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    Koesling, H., & Ritter, H., 2001. VDesigner - A Visual Programming Environment for Eye-Tracking Experiments. In Proc. 11th European Conference on Eye Movements ECEM11. Turku, Finland: ECEM11.
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    Ritter, H., 2001. Die Evolution der Künstlichen Intelligenz. In Heinz Nixdorf MuseumsForum, ed. Computer. Gehirn: Was kann der Mensch? Was können die Computer?. Paderborn: Schöningh, pp. 295.
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    Koesling, H., Carbone, E., & Ritter, H., 2001. Analysis of Eye Movements in Location and Proportion Estimation. In Proceedings of the 11th European Conference on Eye Movements ECEM11. Turku, Finland: ECEM11.
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    Cruse, H., Dean, J., & Ritter, H., 2001. Die Entdeckung der Intelligenz oder Können Ameisen denken? Intelligenz bei Tieren und Maschinen, dtv, no.33064, Lizenzausg., München: Dtv.
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    Twellmann, T., et al., 2001. Cell Detection in Micrographs of Tissue Sections Using Support Vector Machines. In Proc. of. ICANN 2001 Workshop on Kernel and Subspace Methods for Computer Vision.
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    2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1615607
    Heidemann, G., & Ritter, H., 2001. Visual checking of grasping positions of a three-fingered robot hand. In Proc. Artificial Neural Networks (ICANN). no.2130 Berlin: Springer, pp. 891-898.
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    2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1617662
    Heidemann, G., & Ritter, H., 2001. Efficient vector quantization using the WTA-rule with activity equalization. Neural Processing Letters, 13(1), p 17-30.
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    2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1617852
    Pomplun, M., et al., 2001. Comparative visual search: a difference that makes a difference. Cognitive Science, 25(1), p 3-36.
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    2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1618021
    Meinicke, P., & Ritter, H., 2001. Resolution-based complexity control for gaussian mixture models. Neural Computation, 13(2), p 453-475.
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    2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1617028
    Nattkemper, T.W., Ritter, H., & Schubert, W., 2001. A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 5(2), p 138-149.
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    2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142293
    Wersing, H., Steil, J.J., & Ritter, H., 2001. A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation, 13(2), p 357-387.
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    Steil, J.J., et al., 2001. Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. In Proc. Int. Conf. Intelligent Robots and Sytems. IEEE, pp. 1570-1577.
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    2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1886493
    Kämpfe, T., Nattkemper, T.W., & Ritter, H., 2001. Combining Independent Component Analysis and Self-organizing Maps for Cell Image Classification. In B. Radig & S. Florczyk, eds. Pattern Recognition. LNCS. no.2191 Berlin: Springer, pp. 262-268.
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    Haschke, R., Steil, J.J., & Ritter, H., 2001. Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In G. Dorffner, H. Bischof, & K. Hornik, eds. Artificial Neural Networks - ICANN 2001. Lecture notes in computer science. no.2130 Springer, pp. 1109-1114.
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    2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017374 OA
    Hermann, T., et al., 2000. Sonification of Multi-Channel Image Data. In V. Falavar, ed. Proc. of the Mathematical and Engineering Techniques in Medical and Biological Sciences. Las Vegas: CSREA Press, pp. 745-750.
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    2000 | Datenpublikation | PUB-ID: 2701103 OA
    Hermann, T., Nattkemper, T.W., & Ritter, H., 2000. Supplementary Material for "Sonification of Multi-Channel Image Data", Bielefeld University.
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    2000 | Datenpublikation | PUB-ID: 2701097 OA
    Hermann, T., Meinicke, P., & Ritter, H., 2000. Supplementary Material for "Principal Curve Sonification", Bielefeld University.
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    2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017366 OA
    Hermann, T., Meinicke, P., & Ritter, H., 2000. Principal Curve Sonification. In P. R. Cook, ed. Proceedings of the International Conference on Auditory Display. International Community for Auditory Display (ICAD), pp. 81-86.
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    Nattkemper, T.W., et al., 2000. A Neural Network Architecture for Automatic Segmentation of Fluorescence Micrographs. In M. Verleysen, ed. Proc. of the 8th Europ. Symp. on Art. Neur. Netw. (ESANN).
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    Nattkemper, T.W., et al., 2000. Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. In Proc. of the Int. Joint Conf. on Neur. Netw. (IJCNN). no.1 Como, Italy, pp. 248-254.
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    Heidemann, G., Lücke, D., & Ritter, H., 2000. Segmentation of Partially Occluded Objects by Local Classification. In IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000. no.1 Como, Italy: IEEE, pp. 152-157.
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    Nattkemper, T.W., et al., 2000. Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network Architecture. In Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS '00. no.2 Las Vegas, USA, pp. 739-744.
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    Nölker, C., & Ritter, H., 2000. Parametrized SOMs for Hand Posture Reconstruction. In S. - I. Amari, et al., eds. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000). Vol 4. Los Alamitos, CA: IEEE, pp. 139-144.
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    2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714802
    Meinicke, P., & Ritter, H., 2000. Topographic Local PCA Maps. In H. Bothe & R. Rojas, eds. NC 2000 - EIS 2000 : Proceedings of the ICSC Symposia on Neural Computation. Berlin: ICSC Acad. Press.
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    Lücke, D., & Ritter, H., 2000. A System for Various Visual Classification Tasks Based on Neural Networks. In A. Sanfeliu, ed. Proceedings of the 15th International Conference on Pattern Recognition, ICPR'00. Los Alamitos, Calif.: IEEE Computer Soc., pp. 9-12.
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    2000 | Monographie | Veröffentlicht | PUB-ID: 1886242
    Ritter, H., Dean, J., & Cruse, H., 2000. Prerational Intelligence: Adaptive behavior and intelligent systems without symbols and logic. Vol. 2, Studies in cognitive systems, no.26,2, Dordrecht: Kluwer Acad. Pub.
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    2000 | Monographie | Veröffentlicht | PUB-ID: 1886106
    Cruse, H., Dean, J., & Ritter, H., 2000. Prerational Intelligence: Adaptive Behavior and intelligent systems without symbols and logic. Vol. 1, Studies in cognitive systems, no.26,1, Dordrecht: Kluwer Acad. Pub.
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    2000 | Monographie | Veröffentlicht | PUB-ID: 1886236
    Dean, J., Ritter, H., & Cruse, H., 2000. Prerational Intelligence: Interdisciplinary perspectives on the behavior of natural and artificial systems, Studies in cognitive systems, no.26,3, Dordrecht: Kluwer Acad. Pub.
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    2000 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1886469
    Wengerek, T., & Ritter, H., 2000. Combining Elementary Functions: Learning Approaches. In H. Cruse, J. Dean, & H. Ritter, eds. Prerational Intelligence: Adaptive Behavior and Intelligent Systems without Symbols and Logic. Studies in Cognitive Systems. no.26 Dordrecht: Springer, pp. 1214-1239.
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    2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1886471
    Walter, J., Nölker, C., & Ritter, H., 2000. The PSOM Algorithm and Applications. In H. - H. Bothe, ed. Proceedings of the Second ICSC Symposium on Neural Computation, NC 2000. ICSC Academic Press, pp. 758.
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    1999 | Datenpublikation | PUB-ID: 2701116 OA
    Hermann, T., & Ritter, H., 1999. Supplementary Material for "Listen to your Data: Model-Based-Sonification for Data-Analysis", Bielefeld University.
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    1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017409 OA
    Hermann, T., & Ritter, H., 1999. Listen to your Data: Model-Based Sonification for Data Analysis. In G. E. Lasker & M. R. Syed, eds. Advances in intelligent computing and multimedia systems. Windsor, Ontario: Int. Inst. for Advanced Studies in System research and cybernetics, pp. 189-194.
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    1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714843
    Heidemann, G., & Ritter, H., 1999. Combining multiple neural nets for visual feature selection and classification. In ICANN 99. Ninth International Conference on Artificial Neural Networks. no.1 IET, pp. 365-370.
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    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714879
    Metzing, D., et al., 1999. Kommunizierende Agenten: gestische und natürlichsprachliche Interaktion. Kognitionswissenschaften, 8(3), p 129-136.
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    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714913 OA
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    1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714816
    Hasenjäger, M., Ritter, H., & Obermayer, K., 1999. Active Data Selection for Fuzzy Topographic Mapping of Proximities. In G. Brewka, et al., eds. Fuzzy Neuro Systems 99: (computational intelligence). Leipzig: Leipziger Universitätsverlag, pp. 93-103.
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    1999 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2714905
    Ritter, H., 1999. Perspektiven intelligenter Mensch-Maschine Kommunikation. In M. Decker, ed. Robotik : Einführung in einer interdisziplinäre Diskussion. Graue Reihe. no.16 Bad Neuenahr: Europäische Akademie, pp. 103-120.
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    1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374786
    Nattkemper, T.W., Ritter, H., & Schubert, W., 1999. Extracting Patterns of Lymphocyte Fluorescence from Digital Microscope Images. In Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP 99), Workshop Notes. AMIA 1999, Washington DC, pp. 79-88.
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    1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714834
    Wersing, H., & Ritter, H., 1999. Backtracking Deterministic Annealing for Constraint Satisfaction Problems. In ICANN 99, Ninth Int. Conf. Artifical Neural Netwworks. Conference Publication / IEE. no.470 London: IEE, pp. 868-875.
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    1999 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2714858
    Ritter, H., 1999. Götz von B. und der Datenhandschuh. In M. Wehr & M. Weinmann, eds. Die Hand : Werkzeug des Geistes. Heidelberg: Spektrum, pp. 113-140.
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    1999 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2714884
    Ritter, H., 1999. Künstliche Sinne für Roboter. In D. Ganten & H. M. Emrich, eds. Gene, Neurone, Qubits & Co. : unsere Welten der Information, 19.-22. September 1998, Berlin. Verhandlungen der Gesellschaft Deutscher Naturforscher und Ärzte e.V : .. Versammlung Gesellschaft Deutscher Naturforscher und Ärzte. Stuttgart: Hirzel, pp. 303-310.
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    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714923
    Rae, R., Fislage, M., & Ritter, H., 1999. Visuelle Aufmerksamkeitssteuerung zur Unterstützung gestikbasierter Mensch-Maschine Interaktion. KI - Künstliche Intelligenz, Themenheft Aktive Sehsysteme, 1, p 18-24.
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    Wersing, H., & Ritter, H., 1999. Feature Binding and Relaxation Labeling with the Competitive Layer Model. In Proceedings. ESANN '99, 7th European Symposium on Artificial Neural Networks. Bruges, pp. 295-300.
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    Heidemann, G., & Ritter, H., 1999. Hybride Objekterkennung: Konstruktion einer Zwischenrepräsentation für den übergang von holistischer zu semantischer Erkennung. In I. Wachsmuth, ed. KogWiss99: Proceedings der 4. Fachtagung der Gesellschaft für Kognitionswissenschaft. Sankt Augustin: Infix, pp. 290-291.
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    Jockusch, J., & Ritter, H., 1999. An instantaneous topological mapping model for correlated stimuli. In IJCNN '99. International Joint Conference on Neural Networks, 1999. no.1 IEEE, pp. 445.
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    Hansen, J.P., et al., 1999. Neue Anwendungen der Augenbewegungsforschung in der Mensch-Computer-Interaktion. In M. Rötting, ed. Blickbewegungen in der Mensch-Maschine-Systemtechnik. ZMMS-Spektrum. no.8 Sinzheim: Pro-Universitate-Verl., pp. 45-55.
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    Pomplun, M., & Ritter, H., 1999. A Three-Level Model of Comparative Visual Search. In M. Hahn & S. C. Stoness, eds. Proceedings of the Twenty-First Annual Meeting of the Cognitive Science Society. COGNITIVE SCIENCE SOCIETY (US) Conference Proceedings. no.21 Vancouver: Erlbaum, pp. 543-548.
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    Nölker, C., & Ritter, H., 1999. GREFIT: Visual Recognition of Hand Postures. In A. Braffort, et al., eds. Gesture-Based Communication in Human-Computer Interaction: International GestureWorkshop, GW’99. Lecture Notes in Computer Science. no.1739 Berlin: Springer, pp. 61-72.
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    1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714887
    Meinicke, P., & Ritter, H., 1999. Local PCA Learning with Resolution-Dependent Mixtures of Gaussians. In ICANN 99. Ninth International Conference on Artificial Neural Networks. no.1 Edinburgh: IET, pp. 497-502.
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    Steil, J.J., & Ritter, H., 1999. Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. In Proc. European Symposium Artificial Neural Networks. pp. 369-374.
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    Braun, E., et al., 1999. A multi-directional multiple-path recognition scheme for complex objects applied to the domain of a wooden toy kit. Pattern Recognition Letters, 20(11-13), p 1085-1091.
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    Steil, J.J., & Ritter, H., 1999. Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. In Proc. Int. Conf. Artificial Neural Networks. IEEE, pp. 761-766.
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    Ritter, H., 1999. Self-organizing Maps in Non-Euclidean Spaces. In E. Oja & S. Kaski, eds. Kohonen Maps. Amsterdam: Elsevier, pp. 97-109.
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    1998 | Konferenzband | Veröffentlicht | PUB-ID: 2714956
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    Nölker, C., & Ritter, H., 1998. Illumination Independent Recognition of Deictic Arm Postures. In Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society. IECON '98. no.4 IEEE, pp. 2006-2011.
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    Ritter, H., 1998. Roboter der Zukunft. In D. Beste, ed. Spektrum der Wissenschaft. Dossier: Roboter erobern den Alltag. Heidelberg: Spektrum, pp. 108-114.
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    Ritter, H., 1998. Robotics Applications of the Self-Organizing Map. In H. - J. Zimmermann, ed. Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing, EUFIT 98. no.1 Aachen: Mainz, pp. 200-204.
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    Koesling, H., Pomplun, M., & Ritter, H., 1998. The effects of structural information on perceived numerosity in two-dimensional object distributions, Sonderforschungsbereich Situierte Künstliche Kommunikatoren, Bielefeld: Univ. Bielefeld.
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    Pomplun, M., et al., 1998. How to disregard Irrelevant Stimulus Dimensions: Evidence from Comparative Visual Search, Sonderforschungsbereich Situierte Künstliche Kommunikatoren, Bielefeld: Univ. Bielefeld.
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    Ritter, H., & Nölker, C., 1998. Computer brauchen Fingerzeige. Forschung an der Universität Bielefeld, 17, p 20-25.
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    1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714947
    Nölker, C., & Ritter, H., 1998. Detection of Fingertips in Human Hand Movement Sequences. In I. Wachsmuth & M. Fröhlich, eds. Gesture and Sign Language in Human-Computer Interaction. Proceedings of the International Gesture Workshop 1997. Lecture Notes in Computer Science. no.1371 Berlin: Springer, pp. 209-218.
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    Heidemann, G., Nattkemper, T.W., & Ritter, H., 1998. Farbe und Symmetrie für die datengetriebene Generierung prägnanter Fokuspunkte. In V. Rehrmann, ed. 4. Workshop Farbbildverarbeitung. Koblenzer Schriften zur Informatik. no.9 Koblenz: Fölbach, pp. 65-71.
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    Nölker, C., & Ritter, H., 1998. Vorhersage der Bewegung von Fingerspitzen. In S. Posch, ed. Dynamische Perzeption : Workshop der GI-Fachgruppe 1.0.4 Bildverstehen in Kooperation mit dem SFB 360: Situierte Künstliche Kommunikatoren. Proceedings in artificial intelligence. pai. no.8 Sankt Augustin: Infix, pp. 167-174.
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    Fink, G.A., et al., 1998. Entwicklung verteilter Musteranalysesysteme mit DACS. In P. Levi, et al., eds. Mustererkennung 98, 20. DAGM-Symposium Stuttgart. Informatik aktuell. Berlin: Springer-Verlag, pp. 429-436.
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    Rae, R., & Ritter, H., 1998. 3D Real-time Tracking of Points of Interest based on Zero-disparity Filtering. In S. Posch & H. Ritter, eds. Dynamische Perzeption : Workshop der GI-Fachgruppe 1.0.4 Bildverstehen in Kooperation mit dem SFB 360: Situierte Künstliche Kommunikation. Sankt Augustin: INFIX-Verlag, pp. 105-111.
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    Varchmin, A.C., Rae, R., & Ritter, H., 1998. Image based Recognition of Gaze Directions using Adaptive Methods. In I. Wachsmuth & M. Fröhlich, eds. Gesture and Sign Language in Human-Computer Interaction. Lecture Notes in Artificial Intelligence. no.1371 Springer, pp. 245-257.
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    Ritter, H., & Ontrup, J., 1998. Perceptual Grouping in a Neural Model: Reproducing Human Texture Perception, Sonderforschungsbereich Situierte Künstliche Kommunikatoren, Bielefeld: Univ. Bielefeld.
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    1998 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715045
    Rae, R., & Ritter, H., 1998. Recognition of Human Head Orientation Based on Artificial Neural Networks. IEEE Transactions on Neural Networks, 9(2), p 257-265.
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    1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714938
    Wismüller, A., et al., 1998. The Deformable Featur Map - Adaptive Plasticity for Function Approximation. In L. Niklasson, M. Boden, & T. Ziemke, eds. ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Perspectives in Neural Computing. no.1 London: Springer, pp. 123-128.
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    1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142321
    Steil, J.J., & Ritter, H., 1998. Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. In M. Heiss, ed. Proc. Int. ICSC/IFAC Symposium on Neural Computation. ICSC Academic Press, pp. 519-525.
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    1998 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1886487
    Nölker, C., & Ritter, H., 1998. GREFIT: Visuelle Erkennung kontinuierlicher Handposturen. In J. Dassow, ed. Informatik '98: Informatik zwischen Bild und Sprache. 28. Jahrestagung der Gesellschaft für Informatik Magdeburg, 21. - 25. September 1998. Berlin: Springer, pp. 213-222.
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    1998 | Monographie | Veröffentlicht | PUB-ID: 1865231
    Cruse, H., Dean, J., & Ritter, H., 1998. Die Entdeckung der Intelligenz oder können Ameisen denken?: Intelligenz bei Tieren und Maschinen, München: C.H. Beck.
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    1998 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1681289
    Cruse, H., Dean, J., & Ritter, H., 1998. Prärationale Intelligenz. Spektrum der Wissenschaft, Dossier 4/98 - Roboter erobern den Alltag, p 100-103.
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    1998 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1626232
    Hasenjäger, M., & Ritter, H., 1998. Active learning with local models. Neural Processing Letters, 7(2), p 107-117.
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    1998 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1624849
    Jungclaus, N., et al., 1998. An architecture for distributed visual memory. Zeitschrift für Naturforschung. C, a Journal of Biosciences, 53(7-8), p 550-559.
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    1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715101
    Varchmin, A.C., Rae, R., & Ritter, H., 1997. Facial feature detection using neural networks. In W. Gerstner, et al., eds. Artificial Neural Networks — ICANN'97. 7th International Conference Lausanne, Switzerland, October 8–10, 1997 Proceeedings. Lecture Notes in Computer Science. no.1327 Berlin: Springer, pp. 955-960.
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    1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715137
    Jockusch, J., Walter, J., & Ritter, H., 1997. A Tactile Sensor System for a Three-Fingered Robot Manipulator. In Proceedings of the IEEE International Conference on Robotics and Automation, 1997. no.4 IEEE, pp. 3080-3086.
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    1997 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715085
    Ritter, H., 1997. Das Wechselspiel zwischen KI- und Hirnforschung: Eine Diskussion mit Klaus Mainzer, Ernst Pöppel und Helge Ritter. Spektrum der Wissenschaft: Dossier: Kopf oder Computer, 4, p 14-23.
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    1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715130
    Ritter, H., 1997. Neural Networks for Rapid Learning in Computer Vision and Robotics. In G. Della Riccia, H. - J. Lenz, & R. Kruse, eds. Learning, Networks and Statistics. International Centre for Mechanical Sciences: Courses and Lectures. no.382 Wien: Springer Verlag, pp. 25-39.
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    1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715135
    Ritter, H., 1997. Optimierungsstrategien für neuronale Lernverfahren. In IK98. Interdisziplinäres Kolleg, 7. bis 14. März 1998, Günne am Möhnesee, Tagungsunterlagen. Günne, pp. 118-139.
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    1997 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715071
    Pomplun, M., et al., 1997. Augenbewegungen als kognitionswissenschaftlicher Forschungsgegenstand. In R. H. Kluwe, ed. Strukturen und Prozesse intelligenter Systeme. Studien zur Kognitionswissenschaft. Wiesbaden: Deutscher Universitätsverlag, pp. 65-106.
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    1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715095
    Ziemeck, P., & Ritter, H., 1997. Evolving low-level vision capabilities with the GENCODER genetic programming environment. In G. D. Smith, N. C. Steele, & R. F. Albrecht, eds. Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Norwich, U.K., 1997. Wien: Springer Vienna, pp. 78-82.
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    1997 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715122
    Mainzer, K., Pöppel, E., & Ritter, H., 1997. Natürliche und künstliche Intelligenz - Zukunftsperspektiven und Grenzen. Spektrum der Wissenschaft: Dossier: Kopf oder Computer, 4.
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    1997 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715087
    Nölker, C., & Ritter, H., 1997. Detektion von Fingerspitzen in Videobildern. In E. Paulus, ed. Mustererkennung 1997 : 19. DAGM-Symposium Braunschweig, 15.–17. September 1997. Informatik aktuell. no.1997 Berlin: Springer, pp. 97-104.
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    1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715126
    Ritter, H., 1997. Neural Network Approaches for Perception and Action. In G. Sommer & J. J. Koenderink, eds. Algebraic Frames for the Perception-Action Cycle: International Workshop, AFPAC'97 Kiel, Germany, September 8–9, 1997 Proceedings. Lecture Notes in Computer Science 1315. no.1315 Berlin: Springer, pp. 356-378.
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    1997 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1626684
    Weber, C., et al., 1997. Development and regeneration of the retinotectal map in goldfish: a computational study. Philosophical transactions of the Royal Society of London / B, 352(1361), p 1603-1623.
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    1997 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1636872
    Piepenbrock, C., Ritter, H., & Obermayer, K., 1997. The joint development of orientation and ocular dominance: Role of constraints. Neural computation, 9(5), p 959-970.
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    1997 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1865197
    Ritter, H., & Cruse, H., 1997. Kognitive Prozesse und Zeitbewusstsein. In B. Falkenburg & S. Hauser, eds. Dialektik, Modelldenken in den Wissenschaften. Hamburg: Meiner, pp. 59-75.
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    1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142325
    Wersing, H., Steil, J.J., & Ritter, H., 1997. A Layered Recurrent Neural Network for Feature Grouping. In W. Gerstner, et al., eds. Int. Conf. on Artificial Neural Networks. pp. 439-444.
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    1997 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1628322
    Littmann, E., & Ritter, H., 1997. Adaptive color segmentation - A comparison of neural and statistical methods. IEEE Transactions on Neural Networks, 8(1), p 175-185.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2619150
    Fink, G.A., et al., 1996. A Distributed System for Integrated Speech and Image Understanding. In International Symposium on Artificial Intelligence. Cancun, Mexico, pp. 117-126.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715168
    Heidemann, G., et al., 1996. Blicksteuerung durch präattentive Fokussierungspunkte. In B. Mertsching, ed. Aktives Sehen in technischen und biologischen Systemen : Beiträge zum Workshop der GI-Fachgruppe 1.0.4 Bildverstehen, 3. und 4. Dezember 1996, Hamburg. Proceedings in artificial intelligence. no.4 Sankt Augustin: Infix, pp. 109-116.
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    1996 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715186
    Littmann, E., & Ritter, H., 1996. Learning and Generalization in Cascade Network Architectures. Neural Computation, 8(7), p 1521-1539.
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    1996 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715201
    Littmann, E., Drees, A., & Ritter, H., 1996. Neural System recognizes Human Pointing Gestures in Real Images. In B. Kröplin, ed. Neuronale Netze in Ingenieuranwendungen: Internationaler Workshop am Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen, Universität Stuttgart, 15./16. Februar 1996, Stuttgart, Germany. Stuttgart: Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen, Universität Stuttgart, pp. 53-64.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2619135
    Heidemann, G., et al., 1996. A Hybrid Object Recognition Architecture. In C. von der Malsburg, et al., eds. Artificial Neural Networks — ICANN 96, 16.-19. July. Springer-Verlag, Berlin, pp. 305-310.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715154
    Hasenjäger, M., & Ritter, H., 1996. Active Learning of the Generalized High-Low-Game. In C. Malsburg von der, et al., eds. Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. Lecture Notes in Computer Science. no.1112 Berlin: Springer, pp. 501-506.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715161
    Walter, J.A., & Ritter, H., 1996. Associative Completion and Investment Learning using PSOMs. In C. Malsburg von der, et al., eds. Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. Lecture Notes in Computer Science. no.1112 Berlin: Springer, pp. 157-164.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715178
    Ritter, H., 1996. Festvortrag: "Gehirne und Maschinen". In V. Preuss, ed. Was können wir aus der Hirnforschung lernen ; Dokumentation. Bremer Universitäts-Gespräch. no.9 Bremen: Wolfgang-Ritter-Stiftung, pp. 11-27.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715180
    Walter, J.A., & Ritter, H., 1996. Investment Learning with Hierarchical PSOM. In D. S. Touretzky, M. Mozer, & M. Hasselmo, eds. Advances in Neural Information Processing Systems 8. Bradford: MIT-Press, pp. 570-576.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715192
    Heidemann, G., & Ritter, H., 1996. A Neural Recognition Architecture for Composed Objects. In B. J. P. Geißler and H. Haußecker and, et al., eds. Mustererkennung 1996 18. DAGM-Symposium Heidelberg, 11.-13.September 1966. Berlin: Springer Verlag, pp. 475-482.
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    1996 | Report | PUB-ID: 2715205
    Walter, J.A., & Ritter, H., 1996. The NI Robotics Laboratory, Sonderforschungsbereich Situierte Künstliche Kommunikatoren, Bielefeld: Univ. Bielefeld.
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    1996 | Report | PUB-ID: 2715211
    Walter, J.A., & Ritter, H., 1996. Service Object Request Management Architecture: SORMA Concepts and Examples, Sonderforschungsbereich Situierte Künstliche Kommunikatoren, Bielefeld: Univ. Bielefeld.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715141
    Kubisch, R., & Ritter, H., 1996. Erkennung menschlicher Kopfhaltungen mittels künstlicher neuronaler Netze. In B. Jähne, ed. Mustererkennung 1996 : 18. DAGM-Symposium, Heidelberg, 11. - 13. September 1996. Informatik aktuell. Berlin: Springer, pp. 109-117.
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    1996 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715146
    Velichkovsky, B.M., et al., 1996. Attention and Communication: Eye-Movement-Based Research Paradigms. In W. H. Zangemeister, H. S. Stiehl, & C. Freksa, eds. Visual Attention and Cognition. Advances in Psychology. no.116 Amsterdam: Elsevier, pp. 125-154.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715189
    Heidemann, G., & Ritter, H., 1996. A Neural 3-D Object Recognition Architecture Using Optimized Gabor Filters. In International Association for Pattern Recognition, ed. Proceedings of 13th International Conference on Pattern Recognition, Vienna. no.IV Los Alamitos, Calif. : IEEE Computer Society Press, pp. 70-74.
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    1996 | Report | PUB-ID: 2715208
    Heidemann, G., & Ritter, H., 1996. Objekterkennung mit Neuronalen Netzen, Sonderforschungsbereich Situierte Künstliche Kommunikatoren, Bielefeld: Univ. Bielefeld.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715222
    Littmann, E., Drees, A., & Ritter, H., 1996. Visual gesture-based robot guidance with a modular neural system. In Advances in Neural Information Processing Systems 8: Proceedings of the 1995 Conference. Advances in Neural Information Processing Systems. no.8 San Mateo, CA: MIT-Press, pp. 903-909.
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    1996 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1638687
    Walter, J., & Ritter, H., 1996. Rapid learning with parametrized self-organizing maps. In Neurocomputing. NEUROCOMPUTING. no.12 ELSEVIER SCIENCE BV, pp. 131-153.
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    1996 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1638138
    Pomplun, M., Ritter, H., & Velichkovsky, B., 1996. Disambiguating complex visual information: Towards communication of personal views of a scene. Perception, 25(8), p 931-948.
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    1996 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1638438
    Littmann, E., Drees, A., & Ritter, H., 1996. Neural recognition of human pointing gestures in real images. Neural Processing Letters, 3(2), p 61-71.
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    1995 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715244
    Littmann, E., & Ritter, H., 1995. Neural and statistical methods for adaptive color segmentation — a comparison. In G. Sagerer, ed. Mustererkennung 1995. Verstehen akustischer und visueller Informationen. Berlin: Springer, pp. 84-93.
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    1995 | Report | PUB-ID: 2715256
    Pomplun, M., et al., 1995. Visuelle Suchprozesse beim Vergleich zweidimensionaler Objektmengen, Teil I: Zur Rolle der lokalen Verteilungsparameter, Report - Situierte Künstliche Kommunikatoren, Bielefeld: SFB 360.
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    1995 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715263
    Piepenbrock, C., Ritter, H., & Obermayer, K., 1995. Why it is hard to generate orientation and ocular dominance with linear correlation based learning models. In D. S. Touretzky, ed. 7. Advances in neural information processing systems. Advances in neural information processing systems : .. proceedings of the .. conference. no.7 San Mateo: Kaufmann.
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    1995 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2619298
    Fink, G.A., et al., 1995. A Communication Framework for Heterogeneous Distributed Pattern Analysis. In International Conference on Algorithms And Architectures for Parallel Processing. Brisbane, pp. 881-890.
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    1995 | Report | PUB-ID: 2715247
    Littmann, E., & Ritter, H., 1995. Neuronale und statistische Verfahren zur adaptiven Farbsegmentierung — ein Leistungsvergleich, Report - Situierte Künstliche Kommunikatoren, Bielefeld: SFB 360.
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    1995 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715254
    Ritter, H., 1995. Self-Organizing Feature Maps: Kohonen Maps. In M. A. Arbib, ed. The handbook of brain theory and neural networks. Brain theory and neural networks. Cambridge, Mass.: MIT-Press, pp. 846-851.
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    1995 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715234
    Littmann, E., & Ritter, H., 1995. Curvature estimation with a DCA neural network. In Deutsche Arbeitsgemeinschaft für Mustererkennung & Österreichische Computer Gesellschaft. Arbeitskreis für Mustererkennung, eds. Mustererkennung 1995. Verstehen akustischer und visueller Informationen. Informatik aktuell. Heidelberg: Springer, pp. 610-617.
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    1995 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715241
    Walter, J.A., & Ritter, H., 1995. Local PSOMs and Chebyshev PSOMs -Improving the Parametrised Self-Organizing Maps. In F. Fogelman-Soulie, ed. 1. ICANN '95, NEURONIMES 95. no.1 Paris, pp. 95-102.
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    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1865157
    Cruse, H., Dean, J., & Ritter, H., 1995. Prärationale Intelligenz. Spektrum der Wissenschaft, 1995, p 111-115.
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    1995 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1893022
    Moratz, R., et al., 1995. Representing Procedural Knowledge for Semantic Networks using Neural Nets. In Proc. 9th Scandinavian Conference on Image Processing. pp. 819-828.
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    1994 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715276
    Stolte, E., Littmann, E., & Ritter, H., 1994. Dynamic Vision System: Modeling the prey recognition of common toads Bufo bufo. In M. Marinaro, ed. ICANN ’94. Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26–29 May 1994 Volume 1, Parts 1 and 2. no.1 London: Springer, pp. 34-37.
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    1994 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715290
    Ritter, H., 1994. Parametrized Self-Organizing Maps for Vision Learning Tasks. In M. Marinaro, ed. ICANN ’94. Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26–29 May 1994 Volume 1, Parts 1 and 2. no.2 London: Springer, pp. 803-810.
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    1994 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715270
    Pomplun, M., Velichkovsky, B.M., & Ritter, H., 1994. An artificial neural network for high precision eye movement tracking. In B. Nebel & L. Dreschler-Fischer, eds. KI-94: Advances in Artificial Intelligence. 18th German Annual Conference on Artificial Intelligence Saarbrücken, Germany, September 18–23, 1994 Proceedings. Lecture Notes in Computer Science. no.861 Berlin: Springer, pp. 63-69.
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    1994 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715287
    Littmann, E., & Ritter, H., 1994. Modularization by Cascading Neural Networks. In Proceedings : September 4 - 9, 1994, at the ZiF, Universität Bielefeld / ZiF-Workshop, Conference and Poster Session (Electroopto 94) Dynamics of Polyelectrolytes, Colloids and Interfaces, Electrooptical Methods in (Bio-)Technology and Medicine, Satellite Symposium of the Gordon Research Conference on Bioelectrochemistry, Kloster Irsee, 1994. Organized by: E. Neumann. Bielefeld: ZIF.
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    1994 | Report | PUB-ID: 2715267
    Littmann, E., & Ritter, H., 1994. Analysis and Applications of the Direct Cascade Architecture, Report - Situierte Künstliche Kommunikatoren, Bielefeld: SFB 360.
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    1994 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715292
    Jockusch, S., & Ritter, H., 1994. Self-Organizing Maps: Local Competition and Evolutionary Optimization. Neural Networks, 7(8), p 1229-1239.
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    1994 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1780606 OA
    Drees, A., et al., 1994. A hybrid system to detect hand orientation orientation in stereo images. In E. S. Gelsema & L. S. Kanal, eds. Multiple paradigms, comparative studies and hybrid systems: proceedings of an international workshop held on Vlieland, The Netherlands, 1 - 3 June 1994. Pattern recognition in practice. no.4 Amsterdam: North Holland Publ. Co., pp. 551-562.
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    1993 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715295
    Wengerek, T., & Ritter, H., 1993. Application of Q-Learning in Robot Grasping Tasks. In S. Gielen & B. Kappen, eds. ICANN 93. Proceedings of the International Conference on Artificial Neural Networks Amsterdam, The Netherlands 13–16 September 1993. London: Springer, pp. 268-273.
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    1993 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2619440
    Kummert, F., et al., 1993. A Hybrid Approach to Signal Interpretation Using Neural and Semantic Networks. In S. J. Pöppl & H. Handels, eds. Mustererkennung 93: Mustererkennung im Dienste der Gesundheit. Berlin: Springer-Verlag, pp. 245-252.
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    1993 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715317
    Jockusch, S., & Ritter, H., 1993. Synthetic Face Expressions Generated by Self-Organizing Maps. In Proceedings of 1993 International Joint Conference on Neural Networks, 1993. IJCNN '93-Nagoya. no.3 IEEE, pp. 2077-2091.
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    1993 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715304
    Littmann, E., & Ritter, H., 1993. Generalization Abilities of Cascade Network Architectures. In S. J. Hanson, ed. Advances in Neural Information Processing Systems. no.5 San Mateo: Kaufman.
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    1993 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1782942 OA
    Walter, J., & Ritter, H., 1993. Experimental platform for visuo-motor control of a robot hand using neural networks. In B. Svensson, ed. Preprints of the International Workshop on Mechatronical Computer Systems for Perception and Action. Halmstad: Centre for Computer Architecture, Univ., pp. 121-122.
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    1993 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1889972
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    1992 | Monographie | Veröffentlicht | PUB-ID: 2715339
    Ritter, H., Martinetz, T., & Schulten, K., 1992. Neural Computation and Self-Organizing Maps. An Introduction, Reading: Addison-Wesley.
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    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715326
    Littmann, E., Meyering, A., & Ritter, H., 1992. Cascaded and Parallel Neural Network Architectures for Machine Vision — A Case Study. In S. Fuchs, ed. Mustererkennung 1992. 14. DAGM-Symposium, Dresden, 14.–16. September 1992. Informatik aktuell. Berlin: DAGM, pp. 81-87.
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    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715333
    Meyering, A., & Ritter, H., 1992. Learning to recognize 3D-Hand Postures from Perspective Pixel Images. In I. Aleksander, ed. Artificial Neural Networks II. Proceedings of the 1992 International Conference on Artificial Neural Networks (ICANN-92), Brighton, United Kingdom, 4 - 7 September, 1992 ICANN 92. no.1 Amsterdam: North Holland, pp. 821-824.
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    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715320
    Littmann, E., & Ritter, H., 1992. Cascade LLM Networks. In I. Aleksander, ed. Proceedings of the 1992 International Conference on Artificial Neural Networks (ICANN-92), Brighton, United Kingdom, 4 - 7 September, 1992 ICANN 92. no.1 Amsterdam: North Holland, pp. 253-257.
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  • [45]
    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715344
    Littmann, E., et al., 1992. Neural Networks for Robotics. In Statusseminar des BMFT Neuroinformatik : 20. - 21. Oktober 1992, Schloß Maurach. Berlin.
    PUB
     
  • [44]
    1992 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715336
    Obermayer, K., & Ritter, H., 1992. A Model for the Development of the Spatial Structure of Retinotopic Maps and Orientation Columns. IEICE Trans. Fundamentals E, 75-A No.5, p 537-545.
    PUB
     
  • [43]
    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715350
    Wengerek, T., & Ritter, H., 1992. Reinforcement Learning and Subtasks. In I. Alexander, ed. Artificial Neural Networks II. Proceedings of the 1992 International Conference on Artificial Neural Networks (ICANN-92), Brighton, United Kingdom, 4 - 7 September, 1992 ICANN 92. no.1 Amsterdam: North Holland, pp. 259-262.
    PUB
     
  • [42]
    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715355
    Meyering, A., & Ritter, H., 1992. Visuelles Lernen mit Neuronalen Netzen. In K. Reiss, ed. Maschinelles Lernen. Modellierung von Lernen mit Maschinen. Berlin: Springer, pp. 3-22.
    PUB | DOI
     
  • [41]
    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715323
    Littmann, E., & Ritter, H., 1992. Cascade Network Architectures. In Proceedings of the International Joint Conference on Neural Networks 1992. IJCNN. no.2 IEEE, pp. 398-404.
    PUB | DOI
     
  • [40]
    1992 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715330
    Meyering, A., & Ritter, H., 1992. Learning 3D-Shape-Perception with Local Linear Maps. In Proceedings of the International Joint Conference on Neural Networks, 1992. IJCNN. no.4 IEEE, pp. 432-437.
    PUB | DOI
     
  • [39]
    1992 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1782944 OA
    Walter, J., et al., 1992. Neural networks for robot hand control. In M. van der Meer, ed. Statusseminar des BMFT Neuroinformatik. Berlin, pp. 253-262.
    PUB | PDF
     
  • [38]
    1991 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715377
    Ritter, H., 1991. Neuronale Netze - Möglichkeiten und Aussichten. HMD : Praxis der Wirtschaftsinformatik., 159, p 3-6.
    PUB
     
  • [37]
    1991 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715364
    Ritter, H., 1991. Asymptotic Level Density for a Class of Vector Quantization Processes. IEEE Transactions on Neural Networks, 2(1), p 173-175.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [36]
    1991 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715379
    Ritter, H., 1991. Robot Learning with Neural Networks. In Proceedings of the 7th German-Japanese Forum, Tokyo.
    PUB
     
  • [35]
    1991 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715381
    Ritter, H., et al., 1991. Self-organizing Maps and Adaptive Filters. In E. Domany, J. L. Hemmen, & K. Schulten, eds. Models of neuronal networks. Physics of neural networks. Berlin: Springer, pp. 281-306.
    PUB
     
  • [34]
    1991 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715366
    Obermayer, K., Ritter, H., & Schulten, K., 1991. Development and Spatial Structure of Cortical Feature Maps: A Model Study. In D. S. Touretzky, ed. Advances in Neural Information Processing Systems 3. San Mateo: Kaufmann, pp. 11-17.
    PUB
     
  • [33]
    1991 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715373
    Ritter, H., 1991. Learning with the Self-Organizing Map. In T. Kohonen, ed. Artificial neural networks : proceedings of the 1991 International Conference on Artificial Neural Networks [ICANN-91], Espoo, Finland, 24-28 June, 1991. no.1 Amsterdam: North Holland, pp. 379-384.
    PUB
     
  • [32]
    1991 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1781484 OA
    Ritter, H., & Cruse, H., 1991. Neural network approaches for sensory-motor-coordination: sensormotorische Koordination mit Neuronalen Netzen. Informationstechnik, 33(6), p 310-316.
    PUB | PDF
     
  • [31]
    1990 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715389
    Obermayer, K., Ritter, H., & Schulten, K., 1990. Large-Scale Simulations of Self-organizing Neural Networks on Parallel Computers: Application to Biological Modelling. Parallel Computing, 14, p 381-404.
    PUB
     
  • [30]
    1990 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715395
    Ritter, H., 1990. Motor Learning by Charge Placement with Self-organizing Maps. In R. Eckmiller, ed. Advanced neural computers. Amsterdam: North Holland, pp. 381-388.
    PUB
     
  • [29]
    1990 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715439
    Ritter, H., & Kohonen, T., 1990. Learning ″Semantotopic Maps″ from Context. In M. Caudill, ed. International Joint Conference on Neural Networks : January 15 - 19, 1990, Washington, DC. IJCNN-90-Wash DC. no.1 Hillsdale: Erlbaum, pp. 23-26.
    PUB
     
  • [28]
    1990 | Monographie | Veröffentlicht | PUB-ID: 2715402
    Ritter, H., Martinetz, T., & Schulten, K., 1990. Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke, Bonn: Addison Wesley.
    PUB
     
  • [27]
    1990 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715419
    Martinetz, T., Ritter, H., & Schulten, K., 1990. Three-dimensional Neural Net for Learning Visuomotor-Coordination of a Robot Arm. IEEE-Transactions on Neural Networks, 1(1), p 131-136.
    PUB | DOI
     
  • [26]
    1990 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715393
    Ritter, H., 1990. Modular Networks of Multiple Maps. In T. Kohonen, ed. Cognitiva ninety : COGNITIVA 90 : at the crossroads of artificial intelligence, cognitive science, and neuroscience. Proceedings of the 3. COGNITIVA Symposium, Madrid, Spain, 20-23 Nov., 1990. no.2 Amsterdam: North Holland, pp. 105-116.
    PUB
     
  • [25]
    1990 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715398
    Obermayer, K., Ritter, H., & Schulten, K., 1990. A Neural Network Model for the Formation of Topographic Maps in the CNS: Development of Receptive Fields. In IJCNN-90. Proceedings - International Conference on Software Engineering. no.II Ann Arbor, pp. 423-429.
    PUB
     
  • [24]
    1990 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715406
    Obermayer, K., Ritter, H., & Schulten, K., 1990. A Principle for the Formation of the Spatial Structure of Cortical Feature Maps. Proceedings of the National Academy of Sciences of the United States of America, 87(21), p 8345-8349.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [23]
    1990 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715412
    Obermayer, K., et al., 1990. Simulation of Self-Organizing Neural Nets: A Comparison between a Transputer Ring and a Connection Machine CM-2. Transputer Research and Applications: NATUG, 1, p 95-106.
    PUB
     
  • [22]
    1990 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715417
    Ritter, H., 1990. A Spatial Approach to Feature Linking. In International Neural Network Conference. no.2 Dordrecht: Springer, pp. 898-901.
    PUB
     
  • [21]
    1990 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1782961 OA
    Walter, J., Ritter, H., & Schulten, K., 1990. Non-linear prediction with self-organizing maps. In IJCNN, International Joint Conference on Neural Networks. no.vol. 1 Ann Arbor, Mich.: IEEE Neural Networks Council, pp. 587-592.
    PUB | PDF
     
  • [20]
    1990 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1650626
    Ritter, H., 1990. Self-Organizing Maps for internal representations. Psychological Research, 52(2-3), p 128-136.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [19]
    1989 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715423
    Martinetz, T., Ritter, H., & Schulten, K., 1989. 3D-Neural Net for Learning Visuomotor-Coordination of a Robot Arm. In International Joint Conference on Neural Networks. Proceedings. no.2 Washington: JCNN-89, pp. 351-356.
    PUB
     
  • [18]
    1989 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715442
    Martinetz, T., Ritter, H., & Schulten, K., 1989. Learning of Visuomotor Coordination of a Robot Arm with Redundant Degrees of Freedon. In R. Eckmiller, ed. Parallel processing in neural systems and computers. Amsterdam: North Holland, pp. 431-434.
    PUB
     
  • [17]
    1989 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715433
    Obermayer, K., Ritter, H., & Schulten, K., 1989. Large-Scale Simulation of a Self-organizing Neural Network: Formation of a Somatotopic Map. In R. Eckmiller, ed. Parallel processing in neural systems and computers. Amsterdam: North Holland, pp. 71-74.
    PUB
     
  • [16]
    1989 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715451
    Ritter, H., Martinetz, T., & Schulten, K., 1989. Topology Conserving Maps for Learning Visuomotor-Coordination. Neural Networks, 2, p 159-168.
    PUB
     
  • [15]
    1989 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715429
    Ritter, H., Martinetz, T., & Schulten, K., 1989. Ein Gehirn für Roboter - Wie neuronale Netzwerke Roboter steuern können. MC-Mikrocomputerzeitschrift, 89(2), p 48-61.
    PUB
     
  • [14]
    1989 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715448
    Ritter, H., & Kohonen, T., 1989. Self-Organizing Semantic Maps. Biological cybernetics, 61, p 241-254.
    PUB
     
  • [13]
    1989 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715455
    Ritter, H., Martinetz, T., & Schulten, K., 1989. Topology Conserving Maps for Motor Control. In L. Personnaz & École Supérieure de Physique et de Chimie Industrielle (Paris), eds. Neural networks from models to applications. Paris: I.D.S.E.T., pp. 802.
    PUB
     
  • [12]
    1988 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715459
    Ritter, H., & Schulten, K., 1988. Convergence Properties of Kohonens Topology Conserving Maps: Fluctuations, Stability and Dimension Selection. Biological cybernetics, 60, p 59-71.
    PUB
     
  • [11]
    1988 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715466
    Ritter, H., & K, S., 1988. Kohonens Self-Organizing Maps: Exploring their Computational Capabilities. In IEEE International Conference on Neural Networks. no.I Piscataway, NJ: IEEE Service Center, pp. 109-116.
    PUB
     
  • [10]
    1988 | Dissertation | PUB-ID: 2715469
    Ritter, H., 1988. Selbstorganisierende neuronale Karten, TU München.
    PUB
     
  • [9]
    1988 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715471
    Ritter, H., & Schulten, K., 1988. Extending Kohonens Self-Organizing Mapping Algorithm to Learn Ballistic Movements. In R. Eckmiller & C. von der Malsburg, eds. Neural Computers. Heidelberg: Springer, pp. 393-406.
    PUB
     
  • [8]
    1988 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715462
    Martinetz, T., Ritter, H., & Schulten, K., 1988. Kohonens Self-Organizing Maps for Modeling the Formation of the Auditory Cortex of a Bat. In R. Pfeifer, ed. Connectionism in perspective. Amsterdam: North-Holland, pp. 403-412.
    PUB
     
  • [7]
    1987 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2715491
    Ritter, H., & Schulten, K., 1987. Planning a Dynamic Trajectory via Path Finding in Discretized Phase Space. In J. D. Becker, ed. WOPPLOT 86 Parallel Processing: Logic, Organization, and Technology. Lecture Notes in Computer Science. no.253 Berlin: Springer, pp. 29-39.
    PUB
     
  • [6]
    1987 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715483
    Buhmann, J., et al., 1987. Physik und Gehirn - Wie dynamische Modelle von Nervennetzen natürliche Intelligenz erklären. MC <München> : Computerpraxis für technische Anwender, (9), p 108-119.
    PUB
     
  • [5]
    1986 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2715496
    Ritter, H., & Schulten, K., 1986. Topology Conserving Mappings for Learning Motor Tasks. In J. S. Denker, ed. Neural Networks for Computing. Snowbird, UT 1986. AIP conference proceedings. no.151 New York: AIP, pp. 376-380.
    PUB
     
  • [4]
    1986 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715488
    Ritter, H., & Schulten, K., 1986. On the Stationary State of Kohonens Self-Organizing Sensory Mapping. Biological cybernetics : advances in computational neuroscience, 54(2), p 99-106.
    PUB
     
  • [3]
    1985 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715503
    Buhmann, J., Ritter, H., & Schulten, K., 1985. Neurokybernetik und künstliche Intelligenz. Computerwoche, 44, p 66-71.
    PUB
     
  • [2]
    1984 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715507
    Ritter, H., 1984. Transverse Hall-Conductivity in the Landau Subbands of a 2D-Lattice. Zeitschrift für Physik . B, Condensed matter, 56, p 185-188.
    PUB
     
  • [1]
    1981 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1661227
    Schmitt, J., et al., 1981. GENETIC-MARKERS IN PRIMATES - PEDIGREE PATTERNS OF A BREEDING GROUP OF BARBARY MACAQUES (MACACA-SYLVANA LINNAEUS, 1758). FOLIA PRIMATOLOGICA, 36(3-4), p 191-200.
    PUB | DOI | WoS | PubMed | Europe PMC
     
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