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 present FIRE, a content-based image retrieval system and the methods we used in the ImageCLEF 2004 evaluation. In FIRE, different features are available to repre...
The past few years have seen an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous and di...
Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Ha...
In this paper, we describe our multilingual (or cross-linguistic) information browsing and retrieval system, which is aimed at monolingual users who are interested in information ...
Chinatsu Aone, Nicholas Charocopos, James Gorlinsk...
The present study examines the role of subjectively perceived factors of the experience of website usage in forming an intention to use a website. An integrative research model is...