Low-Rank Approximation of Matrices for PMI-Based Word Embeddings.
Alena SorokinaAidana KaripbayevaZhenisbek AssylbekovPublished in: CICLing (1) (2019)
Keyphrases
- low rank approximation
- latent semantic indexing
- singular value decomposition
- low rank matrix approximation
- subspace learning
- vector space
- dimensionality reduction
- low rank
- kernel matrix
- spectral clustering
- manifold learning
- low rank matrices
- reconstruction error
- low dimensional
- data dependent
- iterative algorithms
- co occurrence
- high dimensional data
- linear combination
- low rank matrix
- principal component analysis
- nonnegative matrix factorization
- feature space
- adjacency matrix
- matrix completion
- vector space model
- singular values
- pattern recognition
- eigendecomposition
- feature extraction
- convex optimization
- kernel function