Abdelhameed Ibrahim

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abdelhameed Ibrahim trusts overall

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

  1. Hua Yu
  2. B. G

Papers from Abdelhameed Ibrahim's perspective

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

  1. Generalized Discriminant Analysis Using a Kernel Approach (Neural Computation)
  2. A direct LDA algorithm for high-dimensional data - with application to face recognition (Pattern Recognition)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. The Nature of Statistical Learning Theory
  5. Learning Multiple Layers of Features from Tiny Images
  6. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  7. GENERATIVE ADVERSARIAL NETS
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers