ASSVD: Adaptive Sparse Singular Value Decomposition for High Dimensional Matrices.
Xiucai DingXianyi ChenMengling ZouGuangxing ZhangPublished in: KSII Trans. Internet Inf. Syst. (2020)
Keyphrases
- singular value decomposition
- high dimensional
- dimensionality reduction
- low rank approximation
- singular values
- dimension reduction
- low rank matrix
- low rank
- singular vectors
- least squares
- low dimensional
- low rank matrices
- principal component analysis
- data matrix
- high dimensionality
- sparse coding
- feature space
- similarity search
- measurement matrix
- high dimensional data
- tensor factorization
- neural network
- latent semantic indexing
- nearest neighbor
- null space
- data points
- correlation matrix
- random projections
- reconstruction error
- input space
- factorization method
- manifold learning
- sparse representation
- semi supervised