Low-rank approximations of hyperbolic embeddings.
Pratik JawanpuriaMayank MeghwanshiBamdev MishraPublished in: CDC (2019)
Keyphrases
- low rank approximation
- singular value decomposition
- subspace learning
- dimensionality reduction
- manifold learning
- kernel matrix
- low rank
- low dimensional
- vector space
- latent semantic indexing
- spectral clustering
- iterative algorithms
- adjacency matrix
- data dependent
- partial differential equations
- high dimensional data
- nonnegative matrix factorization
- euclidean space
- principal component analysis
- matrix decomposition
- reconstruction error
- distance measure
- support vector
- graph representation
- text retrieval
- high dimensional
- feature extraction