477 search results - page 53 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
116
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SAC
2008
ACM
14 years 11 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
CLASSIFICATION
2006
14 years 12 months ago
2006
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
105
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DMIN
2006
15 years 1 months ago
2006
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
125
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
PR
2007
14 years 11 months ago
2007
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...