Tommy Wai-Shing Chow

Computer Vision and Pattern Recognition · 2003–2014

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Tommy Wai-Shing Chow trusts overall

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

1. R. Fisher
2. Masashi Sugiyama
3. Shuicheng Yan
4. Sam T. Roweis
5. Xiaofei He

Who trusts Tommy Wai-Shing Chow overall

1. Hyo-Sung Ahn
2. Shen Zhang

Papers from Tommy Wai-Shing Chow's perspective

Ordered by how strongly the researchers Tommy Wai-Shing Chow trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Nonlinear dimensionality reduction by locally linear embedding.
3. ImageNet classification with deep convolutional neural networks
4. A global geometric framework for nonlinear dimensionality reduction.
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis (2014) — 383 citations
• 2-D analysis for iterative learning controller for discrete-time systems with variable initial conditions (2003) — 84 citations