Ravi S. Nanjundiah

Statistical Learning Theory · 2002–2006

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Ravi S. Nanjundiah trusts overall

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

1. Vladimir Naumovich Vapnik

Who trusts Ravi S. Nanjundiah overall

1. Chaopeng Shen
2. Ajay Kalra
3. Subimal Ghosh
4. P. Mujumdar
5. D. Raje

Papers from Ravi S. Nanjundiah's perspective

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

1. Statistical learning theory
2. ImageNet classification with deep convolutional neural networks
3. A training algorithm for optimal margin classifiers
4. The Nature of Statistical Learning Theory
5. Neural Networks for Pattern Recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Fast Training of Support Vector Machines using Sequential Minimal Optimization
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Downscaling of precipitation for climate change scenarios: A support vector machine approach (2006) — 599 citations
• Monsoon prediction : Why yet another failure? (2005) — 217 citations
• On forecasting the Indian summer monsoon: The intriguing season of 2002 (2002) — 101 citations