1595 search results - page 132 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
194
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ICDM
2003
IEEE
15 years 11 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
178
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DOLAP
2003
ACM
15 years 11 months ago
2003
ACM
The data cube operator exemplifies two of the most important aspects of OLAP queries: aggregation and dimension hierarchies. In earlier work we presented Dwarf, a highly compress...
147
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
196
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PAKDD
2007
ACM
16 years 16 days ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
168
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BMCBI
2005
15 years 6 months ago
2005
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...