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MOR
2008
110views more  MOR 2008»
13 years 8 months ago
On the Low Rank Solutions for Linear Matrix Inequalities
In this paper we present a polynomial-time procedure to find a low rank solution for a system of Linear Matrix Inequalities (LMI). The existence of such a low rank solution was sh...
Wenbao Ai, Yongwei Huang, Shuzhong Zhang
CORR
2007
Springer
111views Education» more  CORR 2007»
13 years 8 months ago
Separable and Low-Rank Continuous Games
— Separable games are a structured subclass of continuous games whose payoffs take a sum-of-products form; the zero-sum case has been studied in earlier work. Included in this su...
Noah D. Stein, Asuman E. Ozdaglar, Pablo A. Parril...
JMLR
2010
128views more  JMLR 2010»
13 years 3 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
CORR
2011
Springer
209views Education» more  CORR 2011»
13 years 5 days ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin
ICCV
2011
IEEE
12 years 8 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