We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
In this paper, we propose a web-based learning tool for assisting and enhancing radiology education. Central to the learning tool is our recently developed content-based image ret...
Chi-Ren Shyu, Avinash C. Kak, Carla E. Brodley, Ch...
Abstract. Discovering significant meta-information from document collections is a critical factor for knowledge distribution and preservation. This paper presents a system that im...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...
Automating the process of postmortem identification of deceased individuals based on dental characteristics is receiving increased attention. With the large number of victims enco...
In recent years, the searching and indexing techniques for multimedia data are getting more attention in the area of multimedia databases. As many research works were done on the ...