Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
This paper describes how symbolic techniques (in particular, OBDD's) may be used to to implement an algorithm for model checking specifications in the logic of knowledge for ...
Motion is one of the most important types of information contained in natural video, but direct use of motion information in the design of video quality assessment algorithms has ...
In this paper, we derive a second order mean field theory for directed graphical probability models. By using an information theoretic argument it is shown how this can be done in...
We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...