Andrew Y. Ng

An Experimental and Theoretical Comparison of Model Selection Methods

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

Previous work on action recognition has focused on adapting hand-designed local features, such as SIFT or HOG, from static images to the video domain. In this paper, we propose ...

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Semantic word spaces have been very useful but cannot express the meaning of longer phrases in a principled way. Further progress towards understanding compositionality in tasks...

Recurrent neural networks for noise reduction in robust ASR

Recent work on deep neural networks as acoustic models for automatic speech recognition (ASR) have demonstrated substantial performance improvements. We introduce a model which ...