Olivier Bernier

Computer Vision and Pattern Recognition · 2001

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Bernier trusts overall

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

  1. Henry A. Rowley
  2. Mark A. Kramer
  3. Kurt Hornik
  4. Kah Kay Sung
  5. Pierre Baldi
  6. Matthew A. Turk
  7. Shumeet Baluja
  8. Constantine Papageorgiou
  9. Beatrice A. Golomb
  10. Tomaso A. Poggio

Who trusts Olivier Bernier overall

  1. Cha Zhang
  2. Christophe Garcia
  3. Jeremy Schiff

Papers from Olivier Bernier's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Neural network-based face detection
  3. Neural networks and principal component analysis: Learning from examples without local minima
  4. Adaptive Mixtures of Local Experts
  5. Multilayer feedforward networks are universal approximators
  6. AND T
  7. A general framework for object detection
  8. Eigenfaces for Recognition
  9. Neural Networks and the Bias/Variance Dilemma
  10. Original approach for the localisation of objects in images

Their papers