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: CoRR (2017)
Keyphrases
- cross validation
- compressive sensing
- compressive sampling
- model selection
- random projections
- sparse representation
- signal reconstruction
- compressed sensing
- signal processing
- variable selection
- hyperparameters
- image representation
- orthogonal matching pursuit
- training set
- structured sparsity
- random sampling
- image reconstruction
- regularization parameter
- support vector
- neural network
- sample size
- data mining
- dimension reduction
- feature selection
- computer vision