The use of formal model based (FMB) methods to evaluate the quality of the components is an important research area. Except for a growing number of exceptions, FMB methods are sti...
Hye Yeon Kim, Kshamta Jerath, Frederick T. Sheldon
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
—This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. Fi...
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...