New convex relaxations for MRF inference with unknown graphs
Main Authors: | Wang, Z, Liu, T, Shi, Q, Mudigonda, P, Zhang, J |
---|---|
Format: | Conference item |
Language: | English |
Published: |
IEEE Digital Library
2020
|
Similar Items
-
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
by: Wang, P, et al.
Published: (2015) -
(Hyper)-Graphs Inference through convex relaxations and move making algorithms: contributions and applications in artificial vision
by: Komodakis, N, et al.
Published: (2016) -
MAP MRF joint segmentation and registration
by: Wyatt, P, et al.
Published: (2002) -
Inference Tools for Markov Random Fields on Lattices: The R Package mrf2d
by: Victor Freguglia, et al.
Published: (2022-02-01) -
Truncated max-of-convex models
by: Pansari, P, et al.
Published: (2017)