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CIDM
2007
IEEE
14 years 2 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
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...
UAIS
2002
77views more  UAIS 2002»
13 years 7 months ago
Dialoguing with developers and suppliers of adaptive computer technologies: Data and recommendations
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...
WSOM
2009
Springer
14 years 2 months ago
Visualization by Linear Projections as Information Retrieval
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...
Jaakko Peltonen
CGI
2006
IEEE
13 years 11 months ago
Shape Matching Based on Fully Automatic Face Detection on Triangular Meshes
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...
NIPS
2007
13 years 9 months ago
Semi-Supervised Multitask Learning
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...
Qiuhua Liu, Xuejun Liao, Lawrence Carin