Concept

Mixture model

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Mixture model

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Online Inference in Bayesian Non-Parametric Mixture Models under Small Variance Asymptotics

Learning Robot Manipulation Tasks with Task-Parameterized Semi-Tied Hidden Semi-Markov Model

Data Summarization with Social Contexts

Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

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

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Learning Robot Manipulation Tasks with Task-Parameterized Semi-Tied Hidden Semi-Markov Model

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

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

Online Inference in Bayesian Non-Parametric Mixture Models under Small Variance Asymptotics

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Data Summarization with Social Contexts

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model