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» On the Low Rank Solutions for Linear Matrix Inequalities
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ASC
2004
13 years 7 months ago
Solution to global stability of fuzzy regulators via evolutionary computation
A novel approach for solving fuzzy model-based stability problems via evolutionary computation (EC) is presented. Gain scheduling problem of a multi-model fuzzy system that satisf...
Lanka Udawatta, Keigo Watanabe, Kazuo Kiguchi, Kiy...
ICML
2003
IEEE
14 years 8 months ago
Weighted Low-Rank Approximations
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
Nathan Srebro, Tommi Jaakkola
CORR
2011
Springer
209views Education» more  CORR 2011»
12 years 11 months 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
JMLR
2012
11 years 10 months ago
Primal-Dual methods for sparse constrained matrix completion
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
Yu Xin, Tommi Jaakkola
JMLR
2010
173views more  JMLR 2010»
13 years 2 months ago
Collaborative Filtering via Rating Concentration
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
Bert Huang, Tony Jebara