Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...
In this paper, we present our work for automatic generation of textual metadata based on visual content analysis of video news. We present two methods for semantic object detectio...
Physically disabled and mentally challenged people are an important part of our society that has not yet received the same opportunities as others in their inclusion in the Inform...
Javier Varona, Cristina Manresa-Yee, Francisco J. ...
We introduce a stability analysis model for multi-candidate regional and national voting schemes (aka Electoral College and Direct Popular Vote, respectively), which can be expres...
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...