Hiroshi Tamano

2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hiroshi Tamano trusts overall

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

1. Tong Zhang
2. Niko Speybroeck

Papers from Hiroshi Tamano's perspective

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

1. Adaptive Mixtures of Local Experts
2. Classification and regression trees
3. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
4. Kernel Methods for Pattern Analysis
5. Adaptively Growing Hierarchical Mixtures of Experts
6. Sparse Recovery With Orthogonal Matching Pursuit Under RIP (IEEE Transactions on Information Theory)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• Fully-Automatic Bayesian Piecewise Sparse Linear Models (2014) — 24 citations