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icml2011-code

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  • Update : 2012-11-26
  • Size : 101kb
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  • Author :newm****
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Introduction - If you have any usage issues, please Google them yourself
This a reference implementation for the synthetic experiments on lower linear envelope inference and learning described in "Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields", Stephen Gould, ICML 2011.
Packet file list
(Preview for download)
linEnvInf.mexw32.pdb
linEnvLearn.m
pairwiseLearn.m
README
maxflow-v3.01.src\block.h
.................\CHANGES.TXT
.................\graph.cpp
.................\graph.h
.................\instances.inc
.................\maxflow.cpp
.................\README.TXT
build.m
icml2011.m
linEnvInf.cpp
linEnvInf.mexw32
maxflow-v3.01.src
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