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Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs.
Emanuel Laude
Jan-Hendrik Lange
Jonas Schüpfer
Csaba Domokos
Laura Leal-Taixé
Frank R. Schmidt
Bjoern Andres
Daniel Cremers
Published in:
CVPR (2018)
Keyphrases
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higher order
transductive inference
markov random field
high order
inductive inference
discrete space
continuous domains
pairwise
active learning
continuous variables
natural images
convex optimization
machine learning
conditional random fields
total variation
belief propagation