A Deep Learning Approach to Nonconvex Energy Minimization for Martensitic Phase Transitions.
Xiaoli ChenPhoebus RosakisZhizhang WuZhiwen ZhangPublished in: CoRR (2022)
Keyphrases
- deep learning
- energy minimization
- phase transition
- energy function
- graph cuts
- constraint satisfaction
- markov random field
- random constraint satisfaction problems
- unsupervised learning
- np complete
- optimization problems
- machine learning
- image segmentation
- weakly supervised
- objective function
- cellular automata
- mental models
- belief propagation
- evolutionary algorithm
- lower bound
- image processing
- loopy belief propagation
- object segmentation
- object recognition
- semi supervised
- heuristic search
- constraint satisfaction problems
- active learning
- special case