Sparse Nuclear Norm Two Dimensional Principal Component Analysis.
Yudong ChenZhihui LaiYe ZhangPublished in: CCBR (2016)
Keyphrases
- nuclear norm
- low rank
- low rank matrices
- low rank matrix
- minimization problems
- rank minimization
- matrix completion
- norm minimization
- singular values
- matrix factorization
- linear combination
- convex optimization
- singular value decomposition
- missing data
- convex relaxation
- high dimensional data
- sparse matrix
- semi supervised
- high order
- kernel matrix
- random projections
- total variation
- principal component analysis
- pattern recognition