A super-atomic norm minimization approach to identifying sparse dynamical graphical models.
Yin WangMario SznaierOctavia I. CampsPublished in: ACC (2016)
Keyphrases
- graphical models
- norm minimization
- sparse representation
- gaussian graphical models
- sparse coding
- convex optimization
- belief propagation
- probabilistic model
- approximate inference
- conditional random fields
- markov networks
- unsupervised feature selection
- image classification
- bayesian networks
- matrix completion
- negative matrix factorization
- generative model
- high dimensional
- structure learning
- interior point methods
- computer vision
- pairwise
- face recognition