Automatic Speech Recognition (ASR) has historically been a driving force behind many
machine learning (ML) techniques, including the ubiquitously used hidden Markov model …

Integration of social cues to initiate adaptive emotional and behavioral responses is a
fundamental aspect of animal and human behavior. In humans, social communication …

Abstract We propose the Encoder-Recurrent-Decoder (ERD) model for recognition and
prediction of human body pose in videos and motion capture. The ERD model is a recurrent …

Humans spontaneously organize a continuous experience into discrete events and use the
learned structure of these events to generalize and organize memory. We introduce the …

Given a large collection of co-evolving multiple time-series, which contains an unknown
number of patterns of different durations, how can we efficiently and effectively find typical …

Over the past decade or so, several advances have been made to the design of modern
large vocabulary continuous speech recognition (LVCSR) systems to the point where their …

Super-resolution microscopy provides direct insight into fundamental biological processes
occurring at length scales smaller than light's diffraction limit. The analysis of data at such …

We propose a Bayesian nonparametric approach to the problem of jointly modeling multiple
related time series. Our model discovers a latent set of dynamical behaviors shared among …

Gene expression models, which are key towards understanding cellular regulatory
response, underlie observations of single-cell transcriptional dynamics. Although RNA …

Cognitive radio (CR) is a critical technology for improving spectrum utilization and solving
the radio spectrum scarcity problem. In CR devices, spectrum sensing is important to …