Shriram Sarvotham

Computational Mechanics · 2005–2009

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 40 citations into it; #1,759 of 10,001 by trust here, #892 by citations
• Computer Vision and Pattern Recognition — 22 citations into it
• Applied Mathematics — 14 citations into it
• Signal Processing — 14 citations into it; #3,305 of 7,572 by trust here, #4,373 by citations
• Computer Networks and Communications — 13 citations into it; #2,452 of 9,886 by trust here, #1,992 by citations
• Biomedical Engineering — 10 citations into it; #1,735 of 10,734 by trust here, #2,491 by citations
• Electrical and Electronic Engineering — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Shriram Sarvotham trusts overall

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

1. David L. Donoho
2. Joel A. Tropp
3. E.J. Candes
4. David John Cameron MacKay
5. Judea Pearl
6. Finn Verner Jensen
7. Scott Shaobing Chen
8. Terence Tao
9. Lihan He
10. Justin K. Romberg

Who trusts Shriram Sarvotham overall

1. Richard Baraniuk
2. Marco F. Duarte
3. Florent Krzakala
4. Chengbo Li
5. Lenka Zdeborov'a
6. David L. Donoho
7. Ashish Kapoor
8. Wotao Yin
9. Danny Bickson
10. Rick Chartrand

Papers from Shriram Sarvotham's perspective

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

1. Atomic Decomposition by Basis Pursuit
2. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
3. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
4. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
5. Compressed Sensing
6. The Elements of Statistical Learning
7. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Regression Shrinkage and Selection via the Lasso
10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers

• A new compressive imaging camera architecture using optical-domain compression (2006) — 641 citations
• Distributed Compressive Sensing (2009) — 568 citations
• An Architecture for Compressive Imaging (2006) — 373 citations
• Distributed Compressed Sensing of Jointly Sparse Signals (2005) — 596 citations
• Bayesian Compressive Sensing Via Belief Propagation (2008) — 529 citations