18 Publikationen

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  • [18]
    2021 | Bielefelder E-Dissertation | PUB-ID: 2956362 OA
    Hosseini, B. (2021): Interpretable analysis of motion data. Bielefeld: Universität Bielefeld.
    PUB | PDF | DOI
     
  • [17]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982082
    Hosseini, B.; Hammer, B. (2019): Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. In: 2019 International Joint Conference on Neural Networks (IJCNN). IEEE. S. 1-8.
    PUB | DOI
     
  • [16]
    2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937842 OA
    Hosseini, B.; Hammer, B. (Accepted): Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation.
    PUB | Datei | arXiv
     
  • [15]
    2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937841 OA
    Hosseini, B.; Hammer, B. (Accepted): Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection.
    PUB | Datei | arXiv
     
  • [14]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937839 OA
    Hosseini, B.; Hammer, B. (2019): Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold.
    PUB | Datei | arXiv
     
  • [13]
    2019 | Konferenzbeitrag | PUB-ID: 2930303
    Hosseini, B.; Hammer, B. (2019): Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series. In: Michel Verleysen (Hrsg.): Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019).
    PUB | arXiv
     
  • [12]
    2019 | Konferenzbeitrag | PUB-ID: 2934192
    Hosseini, B.; Hammer, B. (2019): Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning.
    PUB | arXiv
     
  • [11]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982090
    Hosseini, B.; Hammer, B. (2018): Non-negative Local Sparse Coding for Subspace Clustering. In: Wouter Duivesteijn; Arno Siebes; Antti Ukkonen (Hrsg.): Advances in Intelligent Data Analysis XVII. 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. Cham: Springer International Publishing. (Lecture Notes in Computer Science, ). S. 137-150.
    PUB | DOI
     
  • [10]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982087
    Hosseini, B.; Hammer, B. (2018): Confident Kernel Sparse Coding and Dictionary Learning. In: 2018 IEEE International Conference on Data Mining (ICDM). IEEE. S. 1031-1036.
    PUB | DOI
     
  • [9]
    2018 | Preprint | Veröffentlicht | PUB-ID: 2921209 OA
    Hosseini, B.; Hammer, B. (2018): Non-Negative Local Sparse Coding for Subspace Clustering Advances in Intelligent Data Analysis XVII. IDA 2018
    PUB | Datei | Download (ext.) | arXiv
     
  • [8]
    2018 | Konferenzbeitrag | Im Druck | PUB-ID: 2932116 OA
    Hosseini, B.; Hammer, B. (In Press): Confident Kernel Sparse Coding and Dictionary Learning. In: 2018 IEEE International Conference on Data Mining (ICDM).
    PUB | Datei | arXiv
     
  • [7]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919598
    Hosseini, B.; Hammer, B. (2018): Feasibility Based Large Margin Nearest Neighbor Metric Learning. In: ESANN 2018. Proceedings of 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. S. 219-224.
    PUB | arXiv
     
  • [6]
    2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919987 OA
    Hosseini, B.; Hammer, B. (2017): Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data.
    PUB | PDF
     
  • [5]
    2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919990 OA
    Hosseini, B.; Hammer, B. (2017): Task-Driven Sparse Coding for Classification of Motion Data.
    PUB | PDF
     
  • [4]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469 OA
    Hosseini, B.; Hülsmann, F.; Botsch, M.; Hammer, B. (2016): Non-Negative Kernel Sparse Coding for the Analysis of Motion Data. In: Alessandro E.P. Villa; Paolo Masulli; Antonio Javier Pons Rivero (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2016. Cham: Springer. (Lecture Notes in Computer Science, 9887). S. 506-514.
    PUB | PDF | DOI | Download (ext.) | arXiv
     
  • [3]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783165
    Hosseini, B.; Hammer, B. (2015): Efficient Metric Learning for the Analysis of Motion Data. In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Piscataway, NJ: IEEE.
    PUB | DOI | Download (ext.) | arXiv
     
  • [2]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914986 OA
    Hosseini, B.; Ahmadabadi, M. N.; Araabi, B. N. (2010): Abstract Concept Learning Approach Based on Behavioural Feature Extraction. In: Jusoff Kamaruzaman (Hrsg.): 2009 Second International Conference on Computer and Electrical Engineering. Piscataway, NJ: IEEE. (2).
    PUB | PDF | DOI
     
  • [1]
    2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914988 OA
    Jamali, M. R.; Arami, A.; Hosseini, B.; Moshiri, B.; Lukas, C. (2008): Real Time Emotional Control for Anti-Swing and Positioning Control of SIMO Overhead Traveling Crane International Journal of Innovative Computing, Information, and Control,4:(9): 2333-2344.
    PUB | PDF
     

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