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» On the Low Rank Solutions for Linear Matrix Inequalities
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ASC
2004
14 years 11 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...
100
Voted
ICML
2003
IEEE
16 years 12 days 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»
14 years 3 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
110
Voted
JMLR
2012
13 years 2 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»
14 years 6 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