Sequential unfolding SVD for low rank orthogonal tensor approximation.
Jussi SalmiAndreas RichterVisa KoivunenPublished in: ACSCC (2008)
Keyphrases
- low rank
- singular value decomposition
- frobenius norm
- low rank approximation
- trace norm
- high order
- matrix decomposition
- tensor decomposition
- singular values
- dimensionality reduction
- data matrix
- low rank matrix
- matrix completion
- missing data
- kernel matrix
- convex optimization
- linear combination
- rank minimization
- matrix factorization
- low rank matrices
- semi supervised
- high dimensional data
- reconstruction error
- least squares
- robust principal component analysis
- eigendecomposition
- principal component analysis
- minimization problems
- approximation methods
- tensor factorization
- high dimensional
- data representation
- structure from motion
- image processing
- feature selection
- learning algorithm
- machine learning
- data mining
- data sets