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Applications of Approximate Learning and Inference for Probabilistic Models

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Applications of Approximate Learning and Inference for Probabilistic Models

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Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Structured Prediction of 3D Human Pose with Deep Neural Networks

Learning Explainable User Sentiment and Preferences for Information Filtering

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model

ProteusTM: Abstraction Meets Performance in Transactional Memory

ProteusTM: Abstraction Meets Performance in Transactional Memory

Learning Explainable User Sentiment and Preferences for Information Filtering

Structured Prediction of 3D Human Pose with Deep Neural Networks

Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

ProteusTM: Abstraction Meets Performance in Transactional Memory

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

ProteusTM: Abstraction Meets Performance in Transactional Memory

Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model