Heiko Wersing

heiko.wersing@honda-ri.de
PEVZ-ID
54878447

47 Publikationen

Alle markieren

[47]
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418
Intuitiveness in Active Teaching
Göpfert JP, Kuhl U, Hindemith L, Wersing H, Hammer B (2021)
IEEE Transactions on Human-Machine Systems: 1-10.
PUB | DOI | WoS
 
[46]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092
Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning Models
Limberg C, Wersing H, Ritter H (2020)
Machine Learning and Knowledge Extraction 2(3): 327-346.
PUB | DOI | WoS
 
[45]
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093
Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot
Limberg C, Wersing H, Ritter H (2020)
In: Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Yang H, Pasupa K, Leung AC-S, Kwok JT, Chan JH, King I (Eds); Lecture Notes in Computer Science, 12533. Cham: Springer International Publishing: 738-749.
PUB | DOI
 
[44]
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data
Limberg C, Göpfert JP, Wersing H, Ritter H (2020)
In: Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Farkaš I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12397. Cham: Springer International Publishing: 204-213.
PUB | DOI
 
[43]
2019 | Preprint | Veröffentlicht | PUB-ID: 2934181
Adversarial attacks hidden in plain sight
Göpfert JP, Wersing H, Hammer B (2019) .
PUB | DOI | arXiv
 
[42]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914730 OA
Incremental on-line learning: A review and comparison of state of the art algorithms
Losing V, Hammer B, Wersing H (2018)
Neurocomputing 275: 1261-1274.
PUB | PDF | DOI | WoS
 
[41]
2017 | Konferenzbeitrag | PUB-ID: 2914734 OA
Self-Adjusting Memory: How to Deal with Diverse Drift Types
Losing V, Hammer B, Wersing H (2017)
Presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2017, Melbourne.
PUB | PDF | DOI
 
[40]
2017 | Konferenzbeitrag | PUB-ID: 2914732 OA
Personalized Maneuver Prediction at Intersections
Losing V, Hammer B, Wersing H (2017)
Presented at the IEEE Intelligent Transportation Systems Conference 2017, Yokohama.
PUB | PDF
 
[39]
2016 | Konferenzbeitrag | PUB-ID: 2907624 OA
Choosing the Best Algorithm for an Incremental On-line Learning Task
Losing V, Hammer B, Wersing H (2016)
Presented at the European Symposium on Artificial Neural Networks, Brügge.
PUB | PDF
 
[38]
2016 | Konferenzbeitrag | PUB-ID: 2908455 OA
Dedicated Memory Models for Continual Learning in the Presence of Concept Drift
Losing V, Hammer B, Wersing H (2016)
Presented at the Continual Learning Workshop of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona.
PUB | PDF
 
[37]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907622 OA
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Losing V, Hammer B, Wersing H (2016)
In: 2016 IEEE 16th International Conference on Data Mining (ICDM). Piscataway, NJ: IEEE: 291-300.
PUB | PDF | DOI
 
[36]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413
Efficient rejection strategies for prototype-based classification
Fischer L, Hammer B, Wersing H (2015)
Neurocomputing 169(SI): 334-342.
PUB | DOI | WoS
 
[35]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021 OA
Interactive Online Learning for Obstacle Classification on a Mobile Robot
Losing V, Hammer B, Wersing H (2015)
Presented at the International Joint Conference on Neural Networks, Killarney, Ireland.
PUB | PDF | DOI
 
[34]
2014 | Patent | PUB-ID: 2906899
System for Controlling an Automated Device
Wersing H, Queißer J (01.06.2016) .
PUB | Download (ext.)
 
[33]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548
Rejection strategies for learning vector quantization
Fischer L, Hammer B, Wersing H (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 41-46.
PUB
 
[32]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2425561
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps
Dornbusch D, Haschke R, Menzel S, Wersing H (2012)
Presented at the International Conference on Pattern Recognition Applications and Methods, Vilamoura, Algarve, Portugal.
PUB | DOI
 
[31]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2604349
Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction
Lang C, Wachsmuth S, Hanheide M, Wersing H (2012)
International Journal of Social Robotics - Special Issue on Measuring Human-Robot Interaction 4(3): 249-262.
PUB | DOI | WoS
 
[30]
2012 | Report | PUB-ID: 2467027 OA
Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence Selection
Lang C, Wachsmuth S, Hanheide M, Wersing H (2012) .
PUB | PDF
 
[29]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2376395
An iterative approach to local-PCA
John S, Wersing H, Ritter H (2010)
In: Neural Networks (IJCNN), The 2010 International Joint Conference on. 1-6.
PUB | DOI
 
[28]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034704
Facial Expressions as Feedback Cue in Human-Robot Interaction - a Comparison between Human and Automatic Recognition Performances
Lang C, Wachsmuth S, Wersing H, Hanheide M (2010)
In: Workshop on CVPR for Human Communicative Behavior Analysis. IEEE Computer Society, Institute of Electrical and Electronics Engineers (Eds); San Francisco, California, USA: IEEE: 79-85.
PUB | DOI
 
[27]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034035
Figure-ground segmentation using metrics adaptation in levelset methods
Denecke A, Ayllon Clemente I, Wersing H, Eggert J, Steil JJ (2010)
In: European Symposium on Artificial Neural Networks. 417-422.
PUB
 
[26]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019022
Correlating shape and functional properties using decomposition approaches
Dornbusch D, Haschke R, Menzel S, Wersing H (2010)
In: Proc. FLAIRS-23. AAAI: 398-403.
PUB
 
[25]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019017
Finding Correlations in Multimodal Data Using Decomposition Approaches
Dornbusch D, Haschke R, Menzel S, Wersing H (2010)
In: Proc. ESANN 2010. Belgium: d-facto: 253-258.
PUB
 
[24]
2009 | Patent | PUB-ID: 2637645
Adaptive scene dependent filters in online learning environments
Wersing H, Götting M, Steil JJ (2009) .
PUB
 
[23]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815
Online figure-ground segmentation with adaptive metrics in Generalized LVQ
Denecke A, Wersing H, Steil JJ, Körner E (2009)
Neurocomputing 72(7-9): 1470-1482.
PUB | DOI | WoS
 
[22]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969825
Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ
Denecke A, Wersing H, Steil JJ, Körner E (2009)
In: International Workshop on Self-Organizing Maps (WSOM). 45-53.
PUB | DOI
 
[21]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969830
A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories
Kirstein S, Denecke A, Hasler S, Wersing H, Gross H-M, Körner E (2009)
Memetic Computing 1(4): 291-304.
PUB | DOI
 
[20]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1991920
Feedback Interpretation based on Facial Expressions in Human–Robot Interaction
Lang C, Hanheide M, Lohse M, Wersing H, Sagerer G (2009)
In: International Symposium on Robot and Human Interactive Communication (RO-MAN'09). Toyama, Japan: IEEE: 189-194.
PUB | DOI
 
[19]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142096
Robust object segmentation by adaptive metrics in Generalized LVQ
Denecke A, Wersing H, Steil JJ, Körner E (2008)
In: Proc. of the European Symposium on Artificial Neural Networks (ESANN). 319-324.
PUB
 
[18]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996923 OA
Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2007)
In: Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007) . Bielefeld: Bielefeld University.
PUB | PDF | DOI
 
[17]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1632803
Online Learning of Objects in a Biologically Motivated Visual Architecture
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2007)
International Journal of Neural Systems 17(04): 219-230.
PUB | DOI | WoS | PubMed | Europe PMC
 
[16]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1594761 OA
Adaptive scene dependent filters for segmentation and online learning of visual objects
Steil JJ, Götting M, Wersing H, Körner E, Ritter H (2007)
Neurocomputing 70(7-9): 1235-1246.
PUB | PDF | DOI | WoS
 
[15]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142151 OA
Adaptive scene-dependent filters in online learning environments
Götting M, Steil JJ, Wersing H, Körner E, Ritter H (2006)
In: New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005. 101-106.
PUB | PDF
 
[14]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142182
Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions
Weng S, Wersing H, Steil JJ, Ritter H (2006)
IEEE Trans. Neural Networks 17(4): 843-862.
PUB | DOI | WoS | PubMed | Europe PMC
 
[13]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142157
Recent Trends in Online Learning for Cognitive Robotics
Steil JJ, Wersing H (2006)
In: Proc. European Symposium on Artifical Neural Networks. Verleysen M (Ed); d-side publications.
PUB
 
[12]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142171
A biologically motivated system for unconstrained online learning of visual objects
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2006)
In: Proc. of the Int. Conf. on Artificial Neural Networks (ICANN). Kollias S (Ed); , 2. Berlin, Heidelberg: Springer Berlin Heidelberg: 508-517.
PUB | DOI
 
[11]
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714352
A Computational Feature Binding Model of Human Texture Perception
Ontrup J, Wersing H, Ritter H (2004)
Cognitive Processing 5(1): 32-44.
PUB
 
[10]
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1613503
A neural network architecture for automatic segmentation of fluorescence micrographs
Nattkemper TW, Wersing H, Schubert W, Ritter H (2002)
In: Neurocomputing. NEUROCOMPUTING, 48(1-4). ELSEVIER SCIENCE BV: 357-367.
PUB | DOI | WoS
 
[9]
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1616820
Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functions
Wersing H, Beyn W-J, Ritter H (2001)
Neural Computation 13(8): 1811-1825.
PUB | DOI | WoS | PubMed | Europe PMC
 
[8]
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142293
A Competitive Layer Model for Feature Binding and Sensory Segmentation
Wersing H, Steil JJ, Ritter H (2001)
Neural Computation 13(2): 357-387.
PUB | DOI | WoS | PubMed | Europe PMC
 
[7]
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375211
A Neural Network Architecture for Automatic Segmentation of Fluorescence Micrographs
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proc. of the 8th Europ. Symp. on Art. Neur. Netw. (ESANN). Verleysen M (Ed); .
PUB
 
[6]
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374799
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proc. of the Int. Joint Conf. on Neur. Netw. (IJCNN)., 1. Como, Italy: 248-254.
PUB
 
[5]
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714744
Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network Architecture
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS '00., 2. Las Vegas, USA: 739-744.
PUB
 
[4]
2000 | Dissertation | PUB-ID: 2434189
Spatial feature binding and learning in competitive neural layer architectures
Wersing H (2000)
Göttingen: Cuvillier.
PUB
 
[3]
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714834
Backtracking Deterministic Annealing for Constraint Satisfaction Problems
Wersing H, Ritter H (1999)
In: ICANN 99, Ninth Int. Conf. Artifical Neural Netwworks. Conference Publication / IEE, 470. London: IEE: 868-875.
PUB
 
[2]
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714852
Feature Binding and Relaxation Labeling with the Competitive Layer Model
Wersing H, Ritter H (1999)
In: Proceedings. ESANN '99, 7th European Symposium on Artificial Neural Networks. Bruges: 295-300.
PUB
 
[1]
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142325
A Layered Recurrent Neural Network for Feature Grouping
Wersing H, Steil JJ, Ritter H (1997)
In: Int. Conf. on Artificial Neural Networks. Gerstner W, Germond A, Hasler M, Nicoud J-D (Eds); 439-444.
PUB
 
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47 Publikationen

Alle markieren

[47]
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418
Intuitiveness in Active Teaching
Göpfert JP, Kuhl U, Hindemith L, Wersing H, Hammer B (2021)
IEEE Transactions on Human-Machine Systems: 1-10.
PUB | DOI | WoS
 
[46]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092
Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning Models
Limberg C, Wersing H, Ritter H (2020)
Machine Learning and Knowledge Extraction 2(3): 327-346.
PUB | DOI | WoS
 
[45]
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093
Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot
Limberg C, Wersing H, Ritter H (2020)
In: Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Yang H, Pasupa K, Leung AC-S, Kwok JT, Chan JH, King I (Eds); Lecture Notes in Computer Science, 12533. Cham: Springer International Publishing: 738-749.
PUB | DOI
 
[44]
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data
Limberg C, Göpfert JP, Wersing H, Ritter H (2020)
In: Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Farkaš I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12397. Cham: Springer International Publishing: 204-213.
PUB | DOI
 
[43]
2019 | Preprint | Veröffentlicht | PUB-ID: 2934181
Adversarial attacks hidden in plain sight
Göpfert JP, Wersing H, Hammer B (2019) .
PUB | DOI | arXiv
 
[42]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914730 OA
Incremental on-line learning: A review and comparison of state of the art algorithms
Losing V, Hammer B, Wersing H (2018)
Neurocomputing 275: 1261-1274.
PUB | PDF | DOI | WoS
 
[41]
2017 | Konferenzbeitrag | PUB-ID: 2914734 OA
Self-Adjusting Memory: How to Deal with Diverse Drift Types
Losing V, Hammer B, Wersing H (2017)
Presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2017, Melbourne.
PUB | PDF | DOI
 
[40]
2017 | Konferenzbeitrag | PUB-ID: 2914732 OA
Personalized Maneuver Prediction at Intersections
Losing V, Hammer B, Wersing H (2017)
Presented at the IEEE Intelligent Transportation Systems Conference 2017, Yokohama.
PUB | PDF
 
[39]
2016 | Konferenzbeitrag | PUB-ID: 2907624 OA
Choosing the Best Algorithm for an Incremental On-line Learning Task
Losing V, Hammer B, Wersing H (2016)
Presented at the European Symposium on Artificial Neural Networks, Brügge.
PUB | PDF
 
[38]
2016 | Konferenzbeitrag | PUB-ID: 2908455 OA
Dedicated Memory Models for Continual Learning in the Presence of Concept Drift
Losing V, Hammer B, Wersing H (2016)
Presented at the Continual Learning Workshop of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona.
PUB | PDF
 
[37]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907622 OA
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Losing V, Hammer B, Wersing H (2016)
In: 2016 IEEE 16th International Conference on Data Mining (ICDM). Piscataway, NJ: IEEE: 291-300.
PUB | PDF | DOI
 
[36]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413
Efficient rejection strategies for prototype-based classification
Fischer L, Hammer B, Wersing H (2015)
Neurocomputing 169(SI): 334-342.
PUB | DOI | WoS
 
[35]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021 OA
Interactive Online Learning for Obstacle Classification on a Mobile Robot
Losing V, Hammer B, Wersing H (2015)
Presented at the International Joint Conference on Neural Networks, Killarney, Ireland.
PUB | PDF | DOI
 
[34]
2014 | Patent | PUB-ID: 2906899
System for Controlling an Automated Device
Wersing H, Queißer J (01.06.2016) .
PUB | Download (ext.)
 
[33]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548
Rejection strategies for learning vector quantization
Fischer L, Hammer B, Wersing H (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 41-46.
PUB
 
[32]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2425561
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps
Dornbusch D, Haschke R, Menzel S, Wersing H (2012)
Presented at the International Conference on Pattern Recognition Applications and Methods, Vilamoura, Algarve, Portugal.
PUB | DOI
 
[31]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2604349
Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction
Lang C, Wachsmuth S, Hanheide M, Wersing H (2012)
International Journal of Social Robotics - Special Issue on Measuring Human-Robot Interaction 4(3): 249-262.
PUB | DOI | WoS
 
[30]
2012 | Report | PUB-ID: 2467027 OA
Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence Selection
Lang C, Wachsmuth S, Hanheide M, Wersing H (2012) .
PUB | PDF
 
[29]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2376395
An iterative approach to local-PCA
John S, Wersing H, Ritter H (2010)
In: Neural Networks (IJCNN), The 2010 International Joint Conference on. 1-6.
PUB | DOI
 
[28]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034704
Facial Expressions as Feedback Cue in Human-Robot Interaction - a Comparison between Human and Automatic Recognition Performances
Lang C, Wachsmuth S, Wersing H, Hanheide M (2010)
In: Workshop on CVPR for Human Communicative Behavior Analysis. IEEE Computer Society, Institute of Electrical and Electronics Engineers (Eds); San Francisco, California, USA: IEEE: 79-85.
PUB | DOI
 
[27]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034035
Figure-ground segmentation using metrics adaptation in levelset methods
Denecke A, Ayllon Clemente I, Wersing H, Eggert J, Steil JJ (2010)
In: European Symposium on Artificial Neural Networks. 417-422.
PUB
 
[26]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019022
Correlating shape and functional properties using decomposition approaches
Dornbusch D, Haschke R, Menzel S, Wersing H (2010)
In: Proc. FLAIRS-23. AAAI: 398-403.
PUB
 
[25]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019017
Finding Correlations in Multimodal Data Using Decomposition Approaches
Dornbusch D, Haschke R, Menzel S, Wersing H (2010)
In: Proc. ESANN 2010. Belgium: d-facto: 253-258.
PUB
 
[24]
2009 | Patent | PUB-ID: 2637645
Adaptive scene dependent filters in online learning environments
Wersing H, Götting M, Steil JJ (2009) .
PUB
 
[23]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815
Online figure-ground segmentation with adaptive metrics in Generalized LVQ
Denecke A, Wersing H, Steil JJ, Körner E (2009)
Neurocomputing 72(7-9): 1470-1482.
PUB | DOI | WoS
 
[22]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969825
Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ
Denecke A, Wersing H, Steil JJ, Körner E (2009)
In: International Workshop on Self-Organizing Maps (WSOM). 45-53.
PUB | DOI
 
[21]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969830
A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories
Kirstein S, Denecke A, Hasler S, Wersing H, Gross H-M, Körner E (2009)
Memetic Computing 1(4): 291-304.
PUB | DOI
 
[20]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1991920
Feedback Interpretation based on Facial Expressions in Human–Robot Interaction
Lang C, Hanheide M, Lohse M, Wersing H, Sagerer G (2009)
In: International Symposium on Robot and Human Interactive Communication (RO-MAN'09). Toyama, Japan: IEEE: 189-194.
PUB | DOI
 
[19]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142096
Robust object segmentation by adaptive metrics in Generalized LVQ
Denecke A, Wersing H, Steil JJ, Körner E (2008)
In: Proc. of the European Symposium on Artificial Neural Networks (ESANN). 319-324.
PUB
 
[18]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996923 OA
Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2007)
In: Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007) . Bielefeld: Bielefeld University.
PUB | PDF | DOI
 
[17]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1632803
Online Learning of Objects in a Biologically Motivated Visual Architecture
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2007)
International Journal of Neural Systems 17(04): 219-230.
PUB | DOI | WoS | PubMed | Europe PMC
 
[16]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1594761 OA
Adaptive scene dependent filters for segmentation and online learning of visual objects
Steil JJ, Götting M, Wersing H, Körner E, Ritter H (2007)
Neurocomputing 70(7-9): 1235-1246.
PUB | PDF | DOI | WoS
 
[15]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142151 OA
Adaptive scene-dependent filters in online learning environments
Götting M, Steil JJ, Wersing H, Körner E, Ritter H (2006)
In: New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005. 101-106.
PUB | PDF
 
[14]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142182
Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions
Weng S, Wersing H, Steil JJ, Ritter H (2006)
IEEE Trans. Neural Networks 17(4): 843-862.
PUB | DOI | WoS | PubMed | Europe PMC
 
[13]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142157
Recent Trends in Online Learning for Cognitive Robotics
Steil JJ, Wersing H (2006)
In: Proc. European Symposium on Artifical Neural Networks. Verleysen M (Ed); d-side publications.
PUB
 
[12]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142171
A biologically motivated system for unconstrained online learning of visual objects
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2006)
In: Proc. of the Int. Conf. on Artificial Neural Networks (ICANN). Kollias S (Ed); , 2. Berlin, Heidelberg: Springer Berlin Heidelberg: 508-517.
PUB | DOI
 
[11]
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714352
A Computational Feature Binding Model of Human Texture Perception
Ontrup J, Wersing H, Ritter H (2004)
Cognitive Processing 5(1): 32-44.
PUB
 
[10]
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1613503
A neural network architecture for automatic segmentation of fluorescence micrographs
Nattkemper TW, Wersing H, Schubert W, Ritter H (2002)
In: Neurocomputing. NEUROCOMPUTING, 48(1-4). ELSEVIER SCIENCE BV: 357-367.
PUB | DOI | WoS
 
[9]
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1616820
Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functions
Wersing H, Beyn W-J, Ritter H (2001)
Neural Computation 13(8): 1811-1825.
PUB | DOI | WoS | PubMed | Europe PMC
 
[8]
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142293
A Competitive Layer Model for Feature Binding and Sensory Segmentation
Wersing H, Steil JJ, Ritter H (2001)
Neural Computation 13(2): 357-387.
PUB | DOI | WoS | PubMed | Europe PMC
 
[7]
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375211
A Neural Network Architecture for Automatic Segmentation of Fluorescence Micrographs
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proc. of the 8th Europ. Symp. on Art. Neur. Netw. (ESANN). Verleysen M (Ed); .
PUB
 
[6]
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374799
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proc. of the Int. Joint Conf. on Neur. Netw. (IJCNN)., 1. Como, Italy: 248-254.
PUB
 
[5]
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714744
Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network Architecture
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS '00., 2. Las Vegas, USA: 739-744.
PUB
 
[4]
2000 | Dissertation | PUB-ID: 2434189
Spatial feature binding and learning in competitive neural layer architectures
Wersing H (2000)
Göttingen: Cuvillier.
PUB
 
[3]
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714834
Backtracking Deterministic Annealing for Constraint Satisfaction Problems
Wersing H, Ritter H (1999)
In: ICANN 99, Ninth Int. Conf. Artifical Neural Netwworks. Conference Publication / IEE, 470. London: IEE: 868-875.
PUB
 
[2]
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714852
Feature Binding and Relaxation Labeling with the Competitive Layer Model
Wersing H, Ritter H (1999)
In: Proceedings. ESANN '99, 7th European Symposium on Artificial Neural Networks. Bruges: 295-300.
PUB
 
[1]
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142325
A Layered Recurrent Neural Network for Feature Grouping
Wersing H, Steil JJ, Ritter H (1997)
In: Int. Conf. on Artificial Neural Networks. Gerstner W, Germond A, Hasler M, Nicoud J-D (Eds); 439-444.
PUB
 
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