Yasuo Horiuchi
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it; #34,731 of 35,345 by trust here, #25,040 by citations
Whom Yasuo Horiuchi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yasuo Horiuchi overall
Papers from Yasuo Horiuchi's perspective
Ordered by how strongly the researchers Yasuo Horiuchi trusts endorse each paper. Same corpus, a different order for every researcher.
- This PDF file includes: Materials and Methods
- Training Products of Experts by Minimizing Contrastive Divergence
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- Acoustic Modeling Using Deep Belief Networks
- Binary coding of speech spectrograms using a deep auto-encoder
- Recurrent Neural Networks for Noise Reduction in Robust ASR
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Methods of conjugate gradients for solving linear systems
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Reverberant speech recognition based on denoising autoencoder (2013) — 105 citations