A Higher-Order Generalized Singular Value Decomposition for Rank Deficient Matrices.
Idris KempfPaul J. GoulartStephen R. DuncanPublished in: CoRR (2021)
Keyphrases
- singular value decomposition
- higher order
- singular values
- low rank approximation
- latent semantic indexing
- low rank
- least squares
- dimensionality reduction
- high order
- singular vectors
- dimension reduction
- data matrix
- principal component analysis
- matrix completion
- matrix decomposition
- null space
- correlation matrix
- low rank matrix
- factorization method
- machine learning
- neural network
- reconstruction error
- subspace learning
- information retrieval
- frobenius norm