5603 search results - page 357 / 1121 » Feature Selection for Clustering |
201
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BMCBI
2008
15 years 6 months ago
2008
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
197
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
190
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CVPR
2009
IEEE
16 years 1 months ago
2009
IEEE
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
170
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IJCNN
2006
IEEE
16 years 25 days ago
2006
IEEE
Abstract— The Self-Organizing Map (SOM) is popular algorithm for unsupervised learning and visualization introduced by Teuvo Kohonen. One of the most attractive applications of S...
184
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EMMCVPR
2001
Springer
15 years 11 months ago
2001
Springer
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...