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» Approximating Semidefinite Packing Programs
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SIAMJO
2008
93views more  SIAMJO 2008»
13 years 9 months ago
Smooth Optimization with Approximate Gradient
We show that the optimal complexity of Nesterov's smooth first-order optimization algorithm is preserved when the gradient is only computed up to a small, uniformly bounded er...
Alexandre d'Aspremont
ICASSP
2011
IEEE
13 years 1 months ago
Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent
This paper considers the problem of low complexity implementation of high-performance semidefinite relaxation (SDR) MIMO detection methods. Currently, most SDR MIMO detectors are...
Hoi-To Wai, Wing-Kin Ma, Anthony Man-Cho So
SODA
2010
ACM
175views Algorithms» more  SODA 2010»
14 years 7 months ago
Fast SDP Algorithms for Constraint Satisfaction Problems
The class of constraint satisfactions problems (CSPs) captures many fundamental combinatorial optimization problems such as Max Cut, Max q-Cut, Unique Games, and Max k-Sat. Recent...
David Steurer
CVPR
2004
IEEE
14 years 11 months ago
Approximation of Canonical Sets and Their Applications to 2D View Simplification
Given a set of patterns and a similarity measure between them, we will present an optimization framework to approximate a small subset, known as a canonical set, whose members clo...
Trip Denton, Jeff Abrahamson, Ali Shokoufandeh
CVPR
2006
IEEE
14 years 11 months ago
Solving Markov Random Fields using Second Order Cone Programming Relaxations
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...