SimRank has been proposed to rank web documents based on a graph model on hyperlinks. The existing techniques for conducting SimRank computation adopt an iteration computation para...
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
We consider a problem that arises during the propagation of subscriptions in a contentbased publish-subscribe system. Subscription covering is a promising optimization that reduce...
We report an improved methodology for training a sequence of classifiers for document image content extraction, that is, the location and segmentation of regions containing handwr...