Gercina Gonçalves da Silva

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gercina Gonçalves da Silva trusts overall

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

  1. Aiko M. Hormann
  2. Alex Krizhevsky
  3. Yoav Freund
  4. Navneet Dalal
  5. Yann LeCun
  6. Corinna Cortes

Papers from Gercina Gonçalves da Silva's perspective

Ordered by how strongly the researchers Gercina Gonçalves da Silva trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Histograms of oriented gradients for human detection
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. Gradient-based learning applied to document recognition
  6. Support-Vector Networks
  7. Random Forests
  8. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers