Ke Xu

International Congress on Image and Signal Processing · with Wu · 2008

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 Ke Xu trusts overall

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

  1. Stéphane Mallat
  2. M. Bharati

Who trusts Ke Xu overall

  1. Fu-Chen Chen
  2. Nirbhar Neogi

Papers from Ke Xu's perspective

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

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

Their papers