Efficient semidefinite bounds for multi-label discrete graphical models.

Related tags

Deep LearningLR-BCD
Overview
Low rank solvers

####################################

benchmark/ : folder with the random instances used in the paper.

####################################

code/ : folder that contains the code. 

Usage : ./mixing INPUT_INSTANCE OPTIONS
OPTIONS :
	solver : "1" for LR-LAS
		 "2" for LR-BCD

	rank : "-1" for running with rank r = ceil(sqrt(2n))
	       "k" for running with rank r = k

	rounding : "k" for computing the best integer solution value
	           with k rounding schemes

example : ./mixing ../benchmark/rd50-3-sparse-0.wcsp 1 -1 50

OUTPUT :
	[Upper bound value] [lower bound value] [cpu time] [Best upper bound value after rounding schemes] [cpu time rounding schemes]

Eigen3 must be installed and the path to eigen3 must be updated in the makefile.  
		  
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