A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery.
Xiao ZhangLingxiao WangQuanquan GuPublished in: AISTATS (2018)
Keyphrases
- sparse matrix
- low rank matrix
- low rank
- low rank matrices
- convex optimization
- robust principal component analysis
- sparse linear
- missing data
- low rank and sparse
- matrix factorization
- singular value decomposition
- random projections
- matrix completion
- kernel matrix
- linear combination
- rank minimization
- floating point
- high dimensional data
- objective function
- rows and columns
- data matrix
- singular values
- semi supervised
- optimization problems
- high dimensional
- total variation
- learning algorithm
- missing values
- machine learning