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hal-01508810v1
Chapitre d'ouvrage
Thomas Hecht, Patrice Buche, Juliette Dibie, Liliana Ibanescu, Cássia Trojahn dos Santos. Ontology Alignment Using Web Linked Ontologies as Background Knowledge Fabrice Guillet; Bruno Pinaud; Gilles Venturini. Advances in Knowledge Discovery and Management., 665, Springer, pp.207-227, 2017, Studies in Computational Intelligence, 978-3-319-45762-8. <10.1007/978-3-319-45763-5_11> |
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hal-01098707v1
Communication dans un congrès
Thomas Hecht, Mrinal Mohit, Egor Sattarov, Alexander Gepperth. Scene context is more than a Bayesian prior: Competitive vehicle detection with restricted detectors IEEE International Symposium on Intelligent Vehicles(IV), May 2014, Detroit, United States. pp.1358 - 1364, 2014, <10.1109/IVS.2014.6856542> |
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hal-01418135v1
Communication dans un congrès
Thomas Hecht, Alexander Gepperth. Computational Advantages of Deep Prototype-Based Learning International Conference on Artificial Neural Networks (ICANN), 2016, Barcelona, Spain. pp.121 - 127, 2016, <10.1007/978-3-319-44781-0_15> |
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hal-01418132v1
Communication dans un congrès
Thomas Hecht, Alexander Gepperth. Towards incremental deep learning: multi-level change detection in a hierarchical recognition architecture European Symposium on Artificial Neural Networks (ESANN), 2016, Bruges, Belgium |
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hal-01251011v1
Communication dans un congrès
Thomas Hecht, Mathieu Lefort, Alexander Gepperth. Using self-organizing maps for regression: the importance of the output function European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium |
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hal-01418125v1
Article dans une revue
Alexander Gepperth, Thomas Hecht, Mandar Gogate. A Generative Learning Approach to Sensor Fusion and Change Detection Cognitive Computation, Springer, 2016, 8, pp.806 - 817. <10.1007/s12559-016-9390-z> |
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hal-01250967v1
Communication dans un congrès
Thomas Hecht, Alexander Gepperth. A generative-discriminative learning model for noisy information fusion International Conference on Development and Learning (ICDL), Aug 2015, Providence, United States. IEEE International Conference on Development and Learning, ICDL 2015, <10.1109/DEVLRN.2015.7346148> |
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hal-01250961v1
Communication dans un congrès
Alexander Gepperth, Thomas Hecht, Mathieu Lefort, Ursula Körner. Biologically inspired incremental learning for high-dimensional spaces International Conference on Development and Learning (ICDL), Sep 2015, Providence, United States. Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference on 2015, <10.1109/DEVLRN.2015.7346155> |
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hal-01251015v1
Communication dans un congrès
Alexander Gepperth, Mathieu Lefort, Thomas Hecht, Ursula Körner. Resource-efficient incremental learning in very high dimensions European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium |
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