L. Hao

IEEE transactions on dielectrics and electrical insulation · with Lewin · 2010

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom L. Hao trusts overall

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

1. Christopher K. I. Williams
2. Vladimir Naumovich Vapni
3. Chih-Wei Hsu
4. Chih-Jen Lin
5. G. Stone
6. John Shawe-Taylor
7. Sergios Theodoridis

Papers from L. Hao's perspective

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

1. The Nature of Statistical Learning Theory
2. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
3. Kernel Methods for Pattern Analysis
4. A Practical Guide to Support Vector Classication
5. Pattern recognition
6. Partial discharge diagnostics and electrical equipment insulation condition assessment (IEEE transactions on dielectrics and electrical insulation)
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

• Partial discharge source discrimination using a support vector machine (2010) — 167 citations