Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
The authors report on findings on computer technology needs and concerns of 725 Canadian college and university students with a wide range of disabilities. The vast majority of thi...
Jennison V. Asuncion, Catherine S. Fichten, Myrtis...
Abstract. We apply a recent formalization of visualization as information retrieval to linear projections. We introduce a method that optimizes a linear projection for an informati...
This paper tackles a particular shape matching problem: given a data base of shapes (described as triangular meshes), we search for all shapes which describe a human. We do so by a...
Wolfram von Funck, Holger Theisel, Hans-Peter Seid...
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...