Hua-Liang Wei

IEEE Transactions on Neural Networks · 2005

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Hua-Liang Wei trusts overall

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

  1. Stéphane Mallat
  2. John G. Daugman
  3. Genyuan Li
  4. Ingrid Daubechies

Who trusts Hua-Liang Wei overall

  1. K. Bhaskar
  2. Naran M. Pindoriya
  3. S. Singh

Papers from Hua-Liang Wei's perspective

Ordered by how strongly the researchers Hua-Liang Wei trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A wavelet tour of signal processing
  2. Ten Lectures on Wavelets
  3. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
  4. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  5. High Dimensional Model Representations
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Histograms of oriented gradients for human detection

Their papers