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TIT
1998
121views more  TIT 1998»
13 years 6 months ago
Blind Multiuser Detection: A Subspace Approach
—A new multiuser detection scheme based on signal subspace estimation is proposed. It is shown that under this scheme, both the decorrelating detector and the linear minimummean-...
Xiaodong Wang, H. Vincent Poor
CVPR
2004
IEEE
14 years 9 months ago
A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials
We consider the problem of clustering data lying on multiple subspaces of unknown and possibly different dimensions. We show that one can represent the subspaces with a set of pol...
Jacopo Piazzi, René Vidal, Yi Ma
PR
2006
95views more  PR 2006»
13 years 7 months ago
Subspace independent component analysis using vector kurtosis
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. Th...
Alok Sharma, Kuldip K. Paliwal
ICCV
2011
IEEE
12 years 7 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan
CVPR
2004
IEEE
14 years 9 months ago
Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications
In this paper, we propose a robust model selection criterion for mixtures of subspaces called minimum effective dimension (MED). Previous information-theoretic model selection cri...
Kun Huang, René Vidal, Yi Ma