Rabeb Kaabi

Computer Vision and Pattern Recognition · 2016

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

Subfields

Whom Rabeb Kaabi trusts overall

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

  1. Kunihiko Fukushima

Papers from Rabeb Kaabi's perspective

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

  1. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  2. Theano: new features and speed improvements
  3. Flexible, High Performance Convolutional Neural Networks for Image Classification
  4. Empirical Evaluation of Rectified Activations in Convolutional Network
  5. ImageNet classification with deep convolutional neural networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Backpropagation Applied to Handwritten Zip Code Recognition
  9. A Fast Learning Algorithm for Deep Belief Nets
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers