David J. Eis

Computational Mechanics · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom David J. Eis trusts overall

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

1. Robert Tibshirani
2. Michael Lustig
3. David L. Donoho

Papers from David J. Eis's perspective

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

1. Model selection and estimation in regression with grouped variables
2. Sparse Representation for Color Image Restoration
3. Sparse MRI: The application of compressed sensing for rapid MR imaging
4. Robust Face Recognition via Sparse Representation
5. Nonlinear Learning using Local Coordinate Coding
6. Non-local sparse models for image restoration
7. Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
8. Variable Selection
9. The solution path of the generalized lasso
10. Regression Shrinkage and Selection via the Lasso

Their papers

• The generalized lasso is reducible to a subspace constrained lasso (2013) — 9 citations