Domain specific ontologies are heavily used in many applications. For instance, these form the bases on which similarity/dissimilarity between keywords are extracted for various k...
Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...
Identifying intrinsic structures in large networks is a fundamental problem in many fields, such as engineering, social science and biology. In this paper, we are concerned with c...
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
The universal scalability, which integrates different types of scalabilities and consequently provides a large scaling range for each codec parameter, is of high interests to the ...