In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of...
Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, ...
In this paper we propose a CBIR system for retrieval ofnormal anatomical regions present in Computed Tomography studies of the chest and abdomen. We implement and compare eight si...
Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan...
Efficient indexing and retrieval of digital videos are important needs within instructional video databases. Semantic indexing for instructional videos can be achieved by combini...
The paper reports on the formal framework to design strategies for multi-issue non-symmetric meaning negotiations among software agents in a distributed information retrieval syste...
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...