Representing Sentences as Low-Rank Subspaces.
Jiaqi MuSuma BhatPramod ViswanathPublished in: CoRR (2017)
Keyphrases
- low rank
- high dimensional data
- low rank representation
- linear combination
- missing data
- matrix factorization
- convex optimization
- low rank matrix
- rank minimization
- singular value decomposition
- semi supervised
- matrix completion
- kernel matrix
- affinity matrix
- high order
- dimensionality reduction
- low dimensional
- nearest neighbor
- trace norm
- original data
- data sets
- robust principal component analysis
- matrix decomposition
- data matrix
- high dimensional
- minimization problems
- principal component analysis
- small number
- data analysis
- nonnegative matrix factorization
- higher order
- pairwise
- low rank and sparse
- machine learning