Sparsity-based face recognition using discriminative graphical models.
Umamahesh SrinivasVishal MongaYi ChenTrac D. TranPublished in: ACSCC (2011)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- probabilistic inference
- approximate inference
- conditional random fields
- bayesian networks
- structure learning
- map inference
- statistical inference
- conditional independence
- exact inference
- markov networks
- belief networks
- high dimensional
- feature selection
- semi supervised
- loopy belief propagation
- max margin
- graph structure
- factor graphs
- sparse representation
- optimal solution
- structural learning
- chain graphs
- gaussian graphical models