Nuclear-Norm-Based Jointly Sparse Regression for Two-Dimensional Image Regression.
Haosheng SuZhihui LaiNing LiuJun WanPublished in: PRCV (3) (2020)
Keyphrases
- sparse regression
- low rank
- matrix completion
- convex optimization
- linear combination
- matrix factorization
- singular value decomposition
- missing data
- feature selection and classification
- high order
- high dimensional data
- semi supervised
- kernel matrix
- linear regression
- singular values
- data clustering
- norm regularization
- data sets
- text categorization
- markov random field
- higher order
- training set