Discrete optimization methods for group model selection in compressed sensing.
Bubacarr BahJannis KurtzOliver SchaudtPublished in: Math. Program. (2021)
Keyphrases
- model selection
- optimization methods
- compressed sensing
- image reconstruction
- cross validation
- optimization method
- random projections
- simulated annealing
- hyperparameters
- sparse representation
- natural images
- optimization problems
- sample size
- motion segmentation
- machine learning
- unsupervised learning
- model selection criteria
- feature selection
- signal processing
- denoising
- gaussian process
- selection criterion
- marginal likelihood
- optimization algorithm
- text classification
- motion estimation
- fourier transform
- multi objective
- evolutionary algorithm
- feature space
- multiscale
- fourier domain
- data sets