Michel Vacher

Computer Vision and Pattern Recognition · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Michel Vacher trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Bernhard E. Boser
  2. Pai-Hsuen Chen
  3. Matthew Richardson
  4. Stephen S. Intille
  5. Anthony Fleury
  6. Norbert Noury

Who trusts Michel Vacher overall

  1. Chun-Wei Tsai
  2. Saisakul Chernbumroong
  3. Wenxiu Ding
  4. Billy Pik Lik Lau

Papers from Michel Vacher's perspective

Ordered by how strongly the researchers Michel Vacher trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A training algorithm for optimal margin classifiers
  2. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
  3. Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
  4. Inferring activities from interactions with objects (IEEE pervasive computing)
  5. A review of smart homes - Present state and future challenges (Comput. Methods Programs Biomed.)
  6. The perceptron: a probabilistic model for information storage and organization in the brain.
  7. Markov logic networks
  8. Activity Recognition in the Home Using Simple and Ubiquitous Sensors (International Conference on Pervasive Computing)
  9. Fall detection - Principles and Methods (Annual International Conference of the IEEE Engineering in Medicine and Biology Society)
  10. A tutorial on?-support vector machines

Their papers