Martin H. C. Law

Computer Vision and Pattern Recognition · 2004–2006

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #11,081 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 13 citations into it; #10,992 of 35,345 by trust here, #16,771 by citations
• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 5 citations into it

Whom Martin H. C. Law trusts overall

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

1. Anil K. Jain
2. Pierre Baldi
3. Mikhail Belkin
4. Patrice Y. Simard
5. Manoranjan Dash
6. Josh Tenenbaum
7. Alina Beygelzimer
8. Chris S. Wallace
9. Dharmendra S. Modha
10. Dan Pelleg

Who trusts Martin H. C. Law overall

1. Sridhar Mahadevan
2. Girish Chandrashekar
3. Lefei Zhang
4. Deng Cai
5. Cathy Maugis
6. Ricardo Fraiman
7. Mauro Maggioni
8. Liangpei Zhang
9. Ferat Sahin
10. Chiyuan Zhang

Papers from Martin H. C. Law's perspective

Ordered by how strongly the researchers Martin H. C. Law 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Incremental nonlinear dimensionality reduction by manifold learning (2006) — 302 citations
• Simultaneous feature selection and clustering using mixture models (2004) — 684 citations