Satyanshu Kumar

2006

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 Satyanshu Kumar trusts overall

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

1. Vladimir Naumovich Vapni
2. C. Burges
3. Bernhard Schölkopf

Who trusts Satyanshu Kumar overall

1. Shichang Du
2. Jun Lv

Papers from Satyanshu Kumar's perspective

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

1. The Nature of Statistical Learning Theory
2. A training algorithm for optimal margin classifiers
3. Neural Networks: A Comprehensive Foundation
4. A Tutorial on Support Vector Machines for Pattern Recognition
5. Input space versus feature space in kernel-based methods
6. Introduction to Statistical Quality Control (Technometrics)
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Kernel distance-based robust support vector methods and its application in developing a robust K-chart (2006) — 53 citations