734 search results - page 39 / 147 » A New Indexing Method for High Dimensional Dataset |
104
Voted
MLDM
2005
Springer
15 years 6 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
111
Voted
JMLR
2002
15 years 9 days ago
2002
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
136
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ICIP
2007
IEEE
15 years 7 months ago
2007
IEEE
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
106
Voted
CAIP
1997
Springer
15 years 4 months ago
1997
Springer
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...
101
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...