Pragasen Pillay

IEEE transactions on energy conversion · with Douglas · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Pragasen Pillay trusts overall

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

  1. Stéphane Mallat

Who trusts Pragasen Pillay overall

  1. Piotr Gnacinski

Papers from Pragasen Pillay's perspective

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

  1. A wavelet tour of signal processing
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. GradientBased Learning Applied to Document Recognition
  6. This PDF file includes: Materials and Methods
  7. Histograms of oriented gradients for human detection
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Backpropagation Applied to Handwritten Zip Code Recognition
  10. Building high-level features using large scale unsupervised learning

Their papers