Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender an...
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
In this paper, we introduce the new paradigm used in the most recent ARPA-sponsoredContinuousSpeech Recognition(CSR) evaluation and then discuss the important features of the test...
Francis Kubala, Jerome R. Bellegarda, Jordan Cohen...
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...