Se Hyun Park
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2002
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Se Hyun Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Se Hyun Park overall
Papers from Se Hyun Park's perspective
Ordered by how strongly the researchers Se Hyun Park trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
- A Tutorial on Support Vector Machines for Pattern Recognition
- Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition
- Textural Features for Image Classification
- Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Support Vector Machines for Texture Classification (2002) — 374 citations