Matthieu Kowalski

Computational Mechanics · 2009

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 12 citations into it; #1,761 of 10,001 by trust here, #4,039 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #5,816 of 21,575 by trust here, #12,419 by citations
• Optimization & Training — 8 citations into it
• Signal Processing — 7 citations into it
• Statistics and Probability — 6 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Matthieu Kowalski trusts overall

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

1. Bhaskar D. Rao
2. Robert Tibshirani
3. Ming Yuan
4. Patrick L. Combettes
5. Hui Zou
6. Shane F. Cotter
7. Marie Szafranski
8. Ingrid Daubechies
9. Scott Shaobing Chen
10. Yi Lin

Who trusts Matthieu Kowalski overall

1. Shiwen Zhao
2. Giang Tran
3. Xiao-Tong Yuan
4. Chuan Gao
5. Hugo Raguet
6. Bruno Torrésani
7. Rachel A. Ward
8. Shuicheng Yan
9. Amir Shahroudy
10. Sayan Mukherjee

Papers from Matthieu Kowalski's perspective

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

1. Atomic Decomposition by Basis Pursuit
2. Regression Shrinkage and Selection via the Lasso
3. Addendum: Regularization and variable selection via the elastic net
4. A wavelet tour of signal processing
5. Signal Recovery by Proximal Forward-Backward Splitting
6. The Elements of Statistical Learning
7. Model selection and estimation in regression with grouped variables
8. An affine scaling methodology for best basis selection
9. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
10. Subset selection in noise based on diversity measure minimization (IEEE Transactions on Signal Processing)

Their papers

• Sparse regression using mixed norms (2009) — 301 citations
• Structured Sparsity: from Mixed Norms to Structured Shrinkage (2009) — 58 citations
• Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients (2009) — 153 citations