96 search results - page 11 / 20 » Classifying large data sets using SVMs with hierarchical clu... |
BIBE
2003
IEEE
15 years 2 months ago
2003
IEEE
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
105
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PAMI
2006
14 years 9 months ago
2006
Detecting people in images is key for several important application domains in computer vision. This paper presents an in-depth experimental study on pedestrian classification; mul...
101
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BMCBI
2010
14 years 9 months ago
2010
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
NAACL
2004
14 years 11 months ago
2004
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...