D. Delhomme

2005

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

Whom D. Delhomme trusts overall

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

  1. Yann LeCun
  2. Teuvo Kohonen

Who trusts D. Delhomme overall

  1. Oren Z. Kraus
  2. Clément Farabet
  3. Yann LeCun
  4. Waseem Rawat
  5. Stefan Roth
  6. Viren Jain
  7. Seonwoo Min

Papers from D. Delhomme's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  3. Learning a similarity metric discriminatively, with application to face verification
  4. Learning methods for generic object recognition with invariance to pose and lighting
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Original approach for the localisation of objects in images
  8. A Convolutional Neural Network Hand Tracker
  9. Long Short-Term Memory
  10. Loss Functions for Discriminative Training of Energy-Based Models

Their papers