Jagath Rajapakse

Computer Vision and Pattern Recognition · 2002–2010

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jagath Rajapakse trusts overall

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

  1. Dekang Lin
  2. Aapo Hyvärinen
  3. Dimitri P. Bertsekas
  4. John C. Platt
  5. Pierre Machart
  6. Hanchuan Peng
  7. Chris H. Q. Ding
  8. Alain Rakotomamonjy
  9. Yuhai Wu
  10. Anthony J. Bell

Who trusts Jagath Rajapakse overall

  1. Fuyong Xing
  2. Wilson Estécio Marcílio
  3. Lin F. Yang
  4. Jun Chin Ang
  5. Piyushkumar A. Mundra
  6. Verónica Bolón-Canedo
  7. Martin Weigert
  8. Muhammad Naeem
  9. Christian Held
  10. Lipo Wang

Papers from Jagath Rajapakse's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. A training algorithm for optimal margin classifiers
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers