In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and genera...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
The ubiquitous adoption of XML as the standard of data exchange over the web has led to increased interest in building efficient and scalable XML publish-subscribe (pub-sub) syste...
This paper proposes a multi-signature document identification method that works robustly with lowresolution documents captured from handheld devices. The proposed method is based ...
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...