On the theoretical analysis of cross validation in compressive sensing.
Jinye ZhangLaming ChenPetros T. BoufounosYuantao GuPublished in: ICASSP (2014)
Keyphrases
- cross validation
- compressive sensing
- theoretical analysis
- model selection
- random projections
- sparse representation
- variable selection
- compressive sampling
- signal processing
- support vector
- hyperparameters
- image representation
- training set
- regression problems
- regularization parameter
- ls svm
- neural network
- regression model
- least squares
- data mining