J. Hamaker

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 J. Hamaker trusts overall

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

1. J. Platt

Who trusts J. Hamaker overall

1. Tara N. Sainath
2. Davide Anguita
3. Shiyu Zhou

Papers from J. Hamaker's perspective

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

1. The Nature of Statistical Learning Theory
2. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
3. From HMM's to segment models: a unified view of stochastic modeling for speech recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Applications of support vector machines to speech recognition (2004) — 306 citations
• Syllable-based large vocabulary continuous speech recognition (2001) — 171 citations