Nombre de documents

8

Nicolas Farrugia's CV


Article dans une revue3 documents

  • Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine. Fast and Robust Face Detection on a Parallel Optimized Architecture implemented on FPGA. IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, 2009, 19 (4), pp.597-602. 〈hal-00640765〉
  • Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine. Design of a Real-time face detection parallel architecture using High-Level Synthesis. EURASIP Journal on Embedded Systems, SpringerOpen, 2008, pp.Article ID 928256. 〈hal-00640773〉
  • Vincent Brost, Fan Yang, Michel Paindavoine, Nicolas Farrugia. Multiple Modular VLIW Processors based on FPGA. Journal of Electronic Imaging, Society of Photo-optical Instrumentation Engineers, 2007, pp.Article ID 24163. 〈hal-00640783〉

Communication dans un congrès4 documents

  • Tristan Stérin, Nicolas Farrugia, Vincent Gripon. An Intrinsic Difference Between Vanilla RNNs and GRU Models. COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. Proceedings COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, pp.76 - 81, 2017. 〈hal-01522887〉
  • Nicolas Farrugia. Perception et imagerie mentale musicale : que peut nous dire la musique sur le fonctionnement du cerveau ?. 3èmes Journées Perception Sonore, Jun 2017, Brest, France. 2017, 〈http://www.univ-brest.fr/JPS2017〉. 〈hal-01559181〉
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Finding All Matches in a Database using Binary Neural Networks. COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. Proceedings COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, pp.59 - 64, 2017. 〈hal-01522646〉
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. SIPS 2017 : IEEE International Workshop on Signal Processing Systems, Oct 2017, Lorient, France. Proceedings SIPS 2017 : IEEE International Workshop on Signal Processing Systems, pp.1 - 4, 2017, 〈10.1109/SiPS.2017.8109978〉. 〈hal-01656152〉

Pré-publication, Document de travail1 document

  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. 2017. 〈hal-01497375v3〉