Aravind Ganapathiraju
IEEE Transactions on Signal Processing · 2001–2004
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Aravind Ganapathiraju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Aravind Ganapathiraju overall
Papers from Aravind Ganapathiraju's perspective
Ordered by how strongly the researchers Aravind Ganapathiraju trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
- From HMM's to segment models: a unified view of stochastic modeling for speech recognition
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Applications of support vector machines to speech recognition (2004) — 306 citations
- Syllable-based large vocabulary continuous speech recognition (2001) — 171 citations