Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
Xiaofeng ZhuHeung-Il SukHeng HuangDinggang ShenPublished in: IEEE Trans. Big Data (2017)
Keyphrases
- low rank
- sparse regression
- trace norm
- missing data
- matrix factorization
- convex optimization
- linear combination
- singular value decomposition
- matrix completion
- kernel matrix
- semi supervised
- high order
- high dimensional data
- singular values
- data matrix
- weighted graph
- manifold structure
- pairwise
- linear regression
- least squares
- face recognition
- graph laplacian
- feature vectors
- feature selection and classification