Lifting the convex conjugate in Lagrangian relaxations: A Tractable Approach for Continuous Markov Random Fields (bibtex)
by H. Bauermeister, E. Laude, T. Moellenhoff, M. Moeller and D. Cremers
Reference:
Lifting the convex conjugate in Lagrangian relaxations: A Tractable Approach for Continuous Markov Random Fields (H. Bauermeister, E. Laude, T. Moellenhoff, M. Moeller and D. Cremers), In arXiv preprint, 2021.
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. Moellenhoff and M. Moeller and D. Cremers}, year = {2021}, journal = {arXiv preprint}, eprint = {2107.06028}, eprinttype = {arXiv}, primaryclass = {math.OC}, keywords = {Markov random fields, moment relaxation, sum of squares, polynomial optimization, generalized conjugacy, optimal transport }, }
Powered by bibtexbrowser
Back to