3068 search results - page 195 / 614 » Clustering with Multiple Graphs |
238
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PAMI
2011
15 years 2 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
240
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PAMI
2012
13 years 9 months ago
2012
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
226
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BMCBI
2011
14 years 10 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
189
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MM
2005
ACM
16 years 18 days ago
2005
ACM
Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...
159
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CLUSTER
2004
IEEE
15 years 10 months ago
2004
IEEE
The Rocks toolkit [9], [7], [10] uses a graph-based framework to describe the configuration of all node types (termed appliances) that make up a complete cluster. With hundreds of...