Optimal Variable Selection and Adaptive Noisy Compressed Sensing.
Mohamed NdaoudAlexandre B. TsybakovPublished in: IEEE Trans. Inf. Theory (2020)
Keyphrases
- variable selection
- compressed sensing
- image reconstruction
- dimension reduction
- random projections
- cross validation
- input variables
- high dimensional
- sparse representation
- natural images
- high dimensional data
- signal processing
- feature selection
- neural network
- model selection
- low dimensional
- higher order
- nearest neighbor
- feature vectors
- pairwise
- machine learning