298 search results - page 50 / 60 » Analysis of a Fusion Method for Combining Marginal Classifie... |
102
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CVPR
1998
IEEE
16 years 1 months ago
1998
IEEE
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
MLDM
2005
Springer
15 years 5 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
104
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ICIP
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
95
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JUCS
2008
14 years 11 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
109
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BMCBI
2005
14 years 11 months ago
2005
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...