Nombre de documents

9

CV de Thomas Hecht


Communication dans un congrès8 documents

  • 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. <hal-01418132>
  • 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>. <hal-01418135>
  • 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. <hal-01251015>
  • 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>. <hal-01250961>
  • 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>. <hal-01250967>
  • 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. <hal-01251011>
  • Thomas Hecht, Patrice Buche, Juliette Dibie, Mariana Ibanescu, Cassia Trojahn dos Santos. Alignement d'ontologies : exploitation des ontologies liées sur le web de données. EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. RNTI-E-26 (26), pp.23-34, 2014, Revue des nouvelles technologies de l'information. <lirmm-01092173>
  • 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>. <hal-01098707>

Article dans une revue1 document

  • 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>. <hal-01418125>