D. Hess

with Neymeyr · 2010

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom D. Hess trusts overall

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

1. Gene H. Golub
2. M. Maeder
3. Hyunsoo Kim

Papers from D. Hess's perspective

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

1. Algorithms and applications for approximate nonnegative matrix factorization
2. Matrix computations
3. Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method (SIAM Journal on Matrix Analysis and Applications)
4. Practical Data Analysis in Chemistry
5. Non-negative sparse coding
6. Learning the parts of objects by non-negative matrix factorization
7. On the convergence of the block nonlinear Gauss-Seidel method under convex constraints (Operations Research Letters)
8. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
9. Projected Gradient Methods for Nonnegative Matrix Factorization
10. Multi-way Analysis with Applications in the Chemical Sciences

Their papers

• Pure component spectral recovery and constrained matrix factorizations: concepts and applications (2010) — 49 citations