David Brie

2005–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David Brie trusts overall

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

1. Hirotugu Akaike
2. Daniel D. Lee

Papers from David Brie's perspective

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

1. Learning the parts of objects by non-negative matrix factorization
2. Algorithms for Non-negative Matrix Factorization
3. A new look at the statistical model identification
4. Discovery of optimal factors in binary data via a novel method of matrix decomposition (Journal of computer and system sciences (Print))
5. Numerical Recipes: The Art of Scientific Computing
6. Eigenfaces for Recognition
7. Vector quantization and signal compression
8. What Is the Goal of Sensory Coding?
9. Statistical predictor identification
10. Theory of Statistical Estimation

Their papers

• A post-nonlinear mixture model approach to binary matrix factorization (2017) — 5 citations
• Background removal from spectra by designing and minimising a non-quadratic cost function (2005) — 326 citations