Hang-Joon Kim

Computer Vision and Pattern Recognition · 2002

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #13,630 of 21,575 by trust here, #21,103 by citations

Whom Hang-Joon Kim trusts overall

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

1. Vladimir Naumovich Vapni
2. Matthew A. Turk
3. Thomas M. Cover

Who trusts Hang-Joon Kim overall

1. Amit Kumar Mishra

Papers from Hang-Joon Kim's perspective

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

1. The Nature of Statistical Learning Theory
2. Eigenfaces for Recognition
3. A Tutorial on Support Vector Machines for Pattern Recognition
4. Face recognition: a convolutional neural-network approach
5. Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
6. An introduction to kernel-based learning algorithms
7. Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
8. Face recognition by support vector machines
9. Textural Features for Image Classification
10. Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition

Their papers

• Support Vector Machines for Texture Classification (2002) — 374 citations
• Face recognition using kernel principal component analysis (2002) — 340 citations