Petros T. Boufounos

Computational Mechanics · 2008–2011

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 42 citations into it; #2,665 of 10,001 by trust here, #4,450 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Biomedical Engineering — 15 citations into it; #1,620 of 10,734 by trust here, #6,932 by citations
• Signal Processing — 14 citations into it
• Optimization & Training — 10 citations into it
• Computer Networks and Communications — 9 citations into it; #6,522 of 9,886 by trust here, #7,832 by citations
• Applied Mathematics — 7 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Petros T. Boufounos trusts overall

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

1. E.J. Candes
2. Joel A. Tropp
3. David L. Donoho
4. Justin K. Romberg
5. Terence Tao
6. Robert Tibshirani
7. Dimitris Achlioptas
8. S. Kay
9. Deanna Needell
10. Marco F. Duarte

Who trusts Petros T. Boufounos overall

1. Jianhua Mo
2. Yaniv Plan
3. Robert W. Heath
4. Roman Vershynin
5. Jean Barbier
6. Philip Schniter
7. Florent Krzakala
8. Laurent Jacques
9. Mark A. Davenport
10. Zaiwen Wen

Papers from Petros T. Boufounos's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Decoding by linear programming
3. Atomic Decomposition by Basis Pursuit
4. Stable signal recovery from incomplete and inaccurate measurements
5. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
6. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
7. The Dantzig selector: Statistical estimation when P is much larger than n
8. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
9. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
10. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

Their papers

• 1-Bit compressive sensing (2008) — 754 citations
• Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors (2011) — 690 citations
• Signal Processing With Compressive Measurements (2010) — 653 citations