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» Approximating Semidefinite Packing Programs
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SIAMJO
2008
93views more  SIAMJO 2008»
15 years 4 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
14 years 8 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»
16 years 1 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
16 years 6 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
16 years 6 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...