A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
This paper presents a novel feature based parameterization approach of human bodies from the unorganized cloud points and the parametric design method for generating new models ba...
Abstract. Automated language identification of written text is a wellestablished research domain that has received considerable attention in the past. By now, efficient and effecti...
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...