Lorenzo Finesso

Optimization & Training · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it; #1,775 of 3,145 by trust here, #3,009 by citations

Whom Lorenzo Finesso trusts overall

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

1. Daniel D. Lee
2. Arthur P. Dempster
3. Hans-Jürgen Sebastian
4. Nan M. Laird
5. S. y
6. Donald B. Rubin

Who trusts Lorenzo Finesso overall

1. Noam Shazeer
2. Deng Cai
3. Mitchell Stern
4. Chih-Jen Lin
5. Xiaofei He
6. Jiawei Han

Papers from Lorenzo Finesso's perspective

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

1. Learning the parts of objects by non-negative matrix factorization
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. On reduced rank nonnegative matrix factorization for symmetric nonnegative matrices
4. Numerical Recipes: The Art of Scientific Computing
5. Eigenfaces for Recognition
6. Vector quantization and signal compression
7. What Is the Goal of Sensory Coding?
8. Statistical Learning Theory
9. Data Analysis Using Stein's Estimator and its Generalizations
10. Iterative Reclassification Procedure for Constructing An Asymptotically Optimal Rule of Allocation in Discriminant-Analysis

Their papers

• Nonnegative matrix factorization and I-divergence alternating minimization☆ (2004) — 89 citations
• Matrix factorization methods : application to Thermal NDT / (2006)
• Matrix factorization methods: Application to thermal NDT/E (2006) — 63 citations