Hyunsoo Kim

Computer Vision and Pattern Recognition · with Park · 2003–2008

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #4,513 of 21,575 by trust here, #12,419 by citations
• Molecular Biology — 9 citations into it; #678 of 17,773 by trust here, #9,367 by citations
• Computational Theory and Mathematics — 7 citations into it
• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Hyunsoo Kim trusts overall

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

1. Patrik O. Hoyer
2. Daniel D. Lee
3. V. P. Pauca
4. Michael W. Berry
5. Chih-Jen Lin
6. Luigi Grippo
7. Yuan Gao
8. P. Paatero
9. Robert J. Plemmons
10. Jean-Philippe Brunet

Who trusts Hyunsoo Kim overall

1. Nicolas Gillis
2. Jingu Kim
3. Haesun Park
4. Yu-Xiong Wang
5. Zhiyong Wang
6. Nicolai Meinshausen
7. Madeleine Udell
8. Da Kuang
9. Mathias Sawall
10. Yangyang Xu

Papers from Hyunsoo Kim's perspective

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

1. Learning the parts of objects by non-negative matrix factorization
2. Non-negative sparse coding
3. Algorithms for Non-negative Matrix Factorization
4. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
5. Regression Shrinkage and Selection via the Lasso
6. Projected Gradient Methods for Nonnegative Matrix Factorization
7. On the convergence of the block nonlinear Gauss-Seidel method under convex constraints (Operations Research Letters)
8. Text Mining Using Non-Negative Matrix Factorizations (SDM)
9. Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
10. Metagenes and molecular pattern discovery using matrix factorization (Proceedings of the National Academy of Sciences of the United States of America)

Their papers

• Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method (2008) — 623 citations
• Protein secondary structure prediction based on an improved support vector machines approach. (2003) — 231 citations
• Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis (2007) — 912 citations