Tomás Beran
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Signal Processing — 7 citations into it
Whom Tomás Beran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tomás Beran's perspective
Ordered by how strongly the researchers Tomás Beran trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Improving neural networks by preventing co-adaptation of feature detectors
- Learning methods for generic object recognition with invariance to pose and lighting
- Deep Neural Networks for Acoustic Modeling in Speech Recognition
- Deep learning via Hessian-free optimization
- Convolutional networks for images, speech, and time series
- Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition
- Convolutional neural networks applied to house numbers digit classification
- Phoneme recognition using time-delay neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Improvements to Deep Convolutional Neural Networks for LVCSR (2013) — 239 citations