Publications

Affichage de 1341 à 1350 sur 5525


  • OUV

KinAnatomie - 3e édition

Paul Allard, Julie Nantel, Sébastien Leteneur, Mickael Begon, G. Dalleau, Nicolas Termoz, Arsène Thouzé, Serge Mesure, Vicky Bouffard-Levasseur, Patrice Holvoet, Pascale Chavet, Karine Boivin

ourquoi étudier l’anatomie du système musculo-squelettique ? Des exercices d’étirement, de musculation ou d’entraînement mal exécutés peuvent conduire à des blessures. Il en va de même avec les mauvaises postures adoptées dans l’exécution d’une tâche tant au travail qu’à la maison. Une connaissance…

Paul Allard. JFD, 2020, 9782897991142. ⟨hal-04880145⟩

  • COMM

Reduced-Complexity Affine Representation for Takagi-Sugeno Fuzzy Systems

Amine Dehak, Tran Anh-Tu Nguyen, Antoine Dequidt, Laurent Vermeiren, Michel Dambrine

This paper presents a systematic approach to reduce the complexity of sector nonlinearity TS fuzzy models using existing linear dependencies between local linear submodels. The proposed approach results in a decrease of the fuzzy model rules from 2P to p + 1 rules while maintaining equivalence to…

21st IFAC (International Federation of Automatic Control) IFAC World Congress, Jul 2020, Berlin, Germany. pp.8031-8036, ⟨10.1016/j.ifacol.2020.12.2235⟩. ⟨hal-03405660⟩

  • PROCEEDINGS

Tangible interaction on RFID tabletops in centralized and distributed contexts

Christophe Kolski

Tutorial, 19th Brazilian Symposium on Software Quality, Dec 2020, Brazil. 2020. ⟨hal-03388544⟩

  • COMM

Vehicles Tracking by Combining Convolutional Neural Network Based Segmentation and Optical Flow Estimation

Tuan-Hung Vu, Jacques Boonaert, Sebastien Ambellouis, Abdelmalik Taleb-Ahmed

Object tracking is an important proxy task towards action recognition. The recent successful CNN models for detection and segmentation, such as Faster R-CNN and Mask R-CNN lead to an effective approach for tracking problem: tracking-by-detection. This very fast type of tracker takes into account…

ACIVS 2020, 20th International Conference on Advanced Concepts for Intelligent Vision Systems, Feb 2020, Auckland, New Zealand. pp529-540, ⟨10.1007/978-3-030-40605-9_45⟩. ⟨hal-02960349⟩