A simpler approach to low-rank tensor canonical polyadic decomposition.
Daniel L. Pimentel-AlarcónPublished in: Allerton (2016)
Keyphrases
- low rank
- tensor decomposition
- trace norm
- high order
- linear combination
- convex optimization
- missing data
- matrix factorization
- frobenius norm
- singular value decomposition
- low rank matrix
- kernel matrix
- matrix completion
- high dimensional data
- auxiliary information
- data representation
- semi supervised
- matrix decomposition
- rank minimization
- non rigid structure from motion
- higher order
- machine learning
- low rank matrices
- binary matrix
- data mining
- minimization problems
- small number
- data matrix
- data sets
- robust principal component analysis