Variance-component based sparse signal reconstruction and model selection.
Kun QiuAleksandar DogandzicPublished in: IEEE Trans. Signal Process. (2010)
Keyphrases
- model selection
- signal reconstruction
- compressive sensing
- selection criterion
- cross validation
- image reconstruction
- basis functions
- hyperparameters
- random projections
- hypothesis tests
- model selection criteria
- machine learning
- sample size
- regression model
- variable selection
- gaussian process
- generalization error
- unsupervised learning
- feature selection
- signal processing
- image processing
- high dimensional
- marginal likelihood
- automatic model selection
- feature extraction
- low variance
- information criterion
- bayesian information criterion
- dimensionality reduction
- zero crossing
- image classification
- data sets