Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.
Xun HuanCosmin SaftaKhachik SargsyanZachary P. VaneGuilhem LacazeJoseph C. OefeleinHabib N. NajmPublished in: SIAM/ASA J. Uncertain. Quantification (2018)
Keyphrases
- cross validation
- compressive sensing
- compressive sampling
- model selection
- sparse representation
- random projections
- signal reconstruction
- signal processing
- hyperparameters
- compressed sensing
- variable selection
- support vector
- structured sparsity
- regularization parameter
- training set
- orthogonal matching pursuit
- image representation
- sample size
- neural network
- face recognition
- data sets
- sparse coding
- random sampling
- image reconstruction
- learning algorithm
- pattern recognition
- training data