298 search results - page 18 / 60 » Subspace Clustering of High Dimensional Data |
134
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ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
135
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CSB
2003
IEEE
15 years 9 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
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...
171
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JMLR
2002
15 years 3 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
157
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CVPR
2004
IEEE
16 years 6 months ago
2004
IEEE
We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which th...