Sangnam Nam

Computational Mechanics · 2011

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 22 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Signal Processing — 10 citations into it
• Applied Mathematics — 6 citations into it

Whom Sangnam Nam trusts overall

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

1. E.J. Candes
2. David L. Donoho
3. Joel A. Tropp
4. Michael Elad
5. Alfred Marcel Bruckstein
6. Terence Tao
7. Michal Aharon
8. Julien Mairal
9. Stéphane Mallat
10. Justin K. Romberg

Who trusts Sangnam Nam overall

1. Manolis C. Tsakiris
2. Jianwen Xie
3. Zhonghao Zhang
4. Kwan Ho Ryan Chan
5. René Vidal
6. Gitta Kutyniok
7. Ivan W. Selesnick
8. Wenze Hu

Papers from Sangnam Nam's perspective

Ordered by how strongly the researchers Sangnam Nam 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. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
9. Uncertainty principles and ideal atomic decomposition
10. The Dantzig selector: Statistical estimation when P is much larger than n

Their papers

• The Cosparse Analysis Model and Algorithms (2011) — 451 citations