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» On the Low Rank Solutions for Linear Matrix Inequalities
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CVPR
2007
IEEE
14 years 7 months ago
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
We present an autocalibration algorithm for upgrading a projective reconstruction to a metric reconstruction by estimating the absolute dual quadric. The algorithm enforces the ra...
Manmohan Krishna Chandraker, Sameer Agarwal, Fredr...
SIAMREV
2010
174views more  SIAMREV 2010»
13 years 1 days ago
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
MOR
2007
116views more  MOR 2007»
13 years 4 months ago
Complex Matrix Decomposition and Quadratic Programming
This paper studies the possibilities of the Linear Matrix Inequality (LMI) characterization of the matrix cones formed by nonnegative complex Hermitian quadratic functions over sp...
Yongwei Huang, Shuzhong Zhang
RECSYS
2010
ACM
13 years 3 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
CORR
2011
Springer
176views Education» more  CORR 2011»
13 years 9 days ago
Inner approximations for polynomial matrix inequalities and robust stability regions
Following a polynomial approach, many robust fixed-order controller design problems can be formulated as optimization problems whose set of feasible solutions is modelled by para...
Didier Henrion, Jean B. Lasserre