434 search results - page 51 / 87 » Dimensionality Reduction of Clustered Data Sets |
CVPR
2010
IEEE
13 years 12 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, ...
MM
2005
ACM
14 years 2 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...
SCHOLARPEDIA
2008
13 years 7 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...
NIPS
2000
13 years 10 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...
WACV
2005
IEEE
14 years 2 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...