Tensor principal component analysis via convex optimization.
Bo JiangShiqian MaShuzhong ZhangPublished in: Math. Program. (2015)
Keyphrases
- convex optimization
- principal component analysis
- dimensionality reduction
- low rank
- interior point methods
- principal components
- trace norm
- high order
- higher order
- face recognition
- total variation
- low dimensional
- covariance matrix
- linear discriminant analysis
- norm minimization
- convex optimization problems
- convex formulation
- primal dual
- low rank matrix
- feature extraction
- singular value decomposition
- face images
- feature space
- basis pursuit
- semidefinite program
- random projections
- high dimensional data
- super resolution