Low-rank Orthogonal Decompositions for Information Retrieval Applications.
Michael W. BerryRicardo D. FierroPublished in: Numer. Linear Algebra Appl. (1996)
Keyphrases
- low rank
- information retrieval
- singular value decomposition
- matrix decomposition
- linear combination
- missing data
- convex optimization
- matrix factorization
- latent semantic indexing
- low rank matrix
- rank minimization
- matrix completion
- high dimensional data
- high order
- kernel matrix
- minimization problems
- singular values
- semi supervised
- least squares
- data matrix
- robust principal component analysis
- dimensionality reduction
- trace norm
- image classification
- higher order
- non rigid structure from motion
- low rank matrices
- total variation
- document collections
- low rank approximation
- text mining
- collaborative filtering
- pairwise
- feature space