Discrete Optimization Methods for Group Model Selection in Compressed Sensing.
Bubacarr BahJannis KurtzOliver SchaudtPublished in: CoRR (2019)
Keyphrases
- model selection
- optimization methods
- compressed sensing
- image reconstruction
- cross validation
- optimization method
- hyperparameters
- random projections
- optimization problems
- sample size
- sparse representation
- simulated annealing
- machine learning
- bayesian information criterion
- natural images
- feature selection
- signal processing
- selection criterion
- model selection criteria
- marginal likelihood
- information criterion
- motion segmentation
- evolutionary algorithm
- support vector
- neural network
- face recognition
- gaussian process
- optimization algorithm
- probabilistic model
- super resolution
- unsupervised learning