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Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields (bibtex)
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields (bibtex)
by H Bauermeister, E Laude, T Möllenhoff, M Möller and D Cremers
Reference:
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields (H Bauermeister, E Laude, T Möllenhoff, M Möller and D Cremers), In SIAM J. Imaging Sci., volume 15, 2022. 
Bibtex Entry:
@article{laude2021lifting,
 title = {Lifting the Convex Conjugate in Lagrangian Relaxations: {A} Tractable
                  Approach for Continuous Markov Random Fields},
 author = {H Bauermeister and E Laude and T Möllenhoff and M Möller and D Cremers},
 journal = {{SIAM} J. Imaging Sci.},
 volume = {15},
 number = {3},
 pages = {1253--1281},
 year = {2022},
 keywords = {Markov random fields, moment relaxation, sum of squares, polynomial optimization, generalized conjugacy, optimal transport},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group