Improved Robust Tensor Principal Component Analysis via Low-Rank Core Matrix.
Yipeng LiuLongxi ChenCe ZhuPublished in: IEEE J. Sel. Top. Signal Process. (2018)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- trace norm
- singular value decomposition
- frobenius norm
- principal component analysis
- high order
- low rank subspace
- low rank representation
- matrix factorization
- linear combination
- tensor decomposition
- missing data
- convex optimization
- dimensionality reduction
- matrix completion
- matrix decomposition
- high dimensional data
- robust principal component analysis
- low rank matrices
- semi supervised
- norm minimization
- singular values
- nuclear norm
- covariance matrix
- data matrix
- factorization methods
- face recognition
- higher order
- kernel matrix
- tensor factorization
- multi task
- minimization problems
- low rank and sparse
- random projections
- negative matrix factorization
- principal components
- missing values
- low rank approximation
- robust face recognition