Mineichi Kudo

Pattern Recognition · 2000–2009

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Whom Mineichi Kudo trusts overall

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

1. Vladimir Naumovich Vapnik
2. Christopher K. I. Williams
3. Bernhard Schölkopf
4. Kristin P. Bennett
5. Geoffrey J. McLachlan
6. Luc Devroye
7. Carey E. Priebe
8. Alex Smola

Who trusts Mineichi Kudo overall

1. Roman W. Swiniarski
2. Yong Zhang
3. Matthew Roddy
4. Pabitra Mitra
5. Utthara Gosa Mangai
6. Mohammed El-Amine Cheriet
7. Andrzej Skowron
8. Alex Alves Freitas
9. Gabriel Skantze
10. D. Gong

Papers from Mineichi Kudo's perspective

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

1. Statistical learning theory
2. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
3. A Probabilistic Theory of Pattern Recognition
4. Learning with Kernels: support vector machines, regularization, optimization, and beyond
5. UCI Repository of machine learning databases
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Convex sets as prototypes for classifying patterns (2009) — 17 citations
• Comparison of algorithms that select features for pattern classifiers (2000) — 965 citations