434 search results - page 51 / 87 » Dimensionality Reduction of Clustered Data Sets |
173
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
137
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MM
2005
ACM
15 years 9 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
174
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SCHOLARPEDIA
2008
15 years 2 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
137
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NIPS
2000
15 years 5 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
146
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WACV
2005
IEEE
15 years 9 months ago
2005
IEEE
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...