On the Nuclear Norm and the Singular Value Decomposition of Tensors.
Harm DerksenPublished in: CoRR (2013)
Keyphrases
- singular value decomposition
- nuclear norm
- low rank
- low rank matrix
- singular values
- low rank matrices
- tensor factorization
- high order
- matrix completion
- least squares
- latent semantic indexing
- rank minimization
- dimension reduction
- data matrix
- minimization problems
- kernel matrix
- dimensionality reduction
- low rank approximation
- norm minimization
- data analysis
- principal component analysis
- recommender systems
- eigendecomposition
- factorization method
- convex optimization
- low dimensional
- data sets
- computer vision
- machine learning