Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
We present a collision detection (CD) method for complex and large-scale fracturing models that have geometric and topological changes. We first propose a novel dual-cone culling...
Jae-Pil Heo, Duksu Kim, Joon-Kyung Seong, Jeong-Mo...
We perform a survey into the scope and utility of opinion mining in legal Weblogs (a.k.a. blawgs). The number of `blogs' in the legal domain is growing at a rapid pace and ma...
Background: Vaccine development in the post-genomic era often begins with the in silico screening of genome information, with the most probable protective antigens being predicted...
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...