1215 search results - page 235 / 243 » Application domain study of evolutionary algorithms in optim... |
CIKM
2009
Springer
15 years 6 months ago
2009
Springer
In this paper we study approximate landmark-based methods for point-to-point distance estimation in very large networks. These methods involve selecting a subset of nodes as landm...
124
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JMLR
2012
13 years 2 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
113
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TVCG
2011
14 years 6 months ago
2011
—This paper describes a complete system to create anatomically accurate example-based volume deformation and animation of articulated body regions, starting from multiple in vivo...
STOC
1999
ACM
15 years 3 months ago
1999
ACM
We considered non-clairvoyant multiprocessor scheduling of jobs with arbitrary arrival times and changing execution characteristics. The problem has been studied extensively when ...
SIGIR
2006
ACM
15 years 5 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...