875 search results - page 56 / 175 » Linear Manifold Clustering |
104
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IJCNN
2007
IEEE
15 years 7 months ago
2007
IEEE
— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
106
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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...
102
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CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
119
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ICANN
2011
Springer
14 years 4 months ago
2011
Springer
Currently the most accurate WLAN positioning systems are based on the fingerprinting approach, where a “radio map” is constructed by modeling how the signal strength measureme...
ICCSA
2005
Springer
15 years 6 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...