Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Abstract. The focus of work on information flow security has primarily been on definitions of security in asynchronous systems models. This paper considers systems with scheduler...
This tutorial present the key aspects of design challenges and its solutions that are being experienced in VLSI design in the era of nano technology. The focus will be on design c...