Mohammed Lamine Kherfi

Computer Vision and Pattern Recognition · 2004

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammed Lamine Kherfi trusts overall

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

  1. Kobus Barnard
  2. Kevin W. Bowyer
  3. Stefan Berchtold
  4. D.A. Forsyth
  5. Patrick J. Flynn
  6. Daniel A. Keim
  7. Yong Rui

Papers from Mohammed Lamine Kherfi's perspective

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

  1. Learning the semantics of words and pictures
  2. The X-tree : An Index Structure for High-Dimensional Data (Very Large Data Bases Conference)
  3. A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces
  4. Optimizing learning in image retrieval (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
  5. A 20th Anniversary Survey: Introduction to 'Content-Based Image Retrieval at the End of the Early Years'
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Going deeper with convolutions
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers