Fast Monte-Carlo Low Rank Approximations for Matrices
Shmuel FriedlandMostafa KavehAmir NiknejadHossein ZarePublished in: CoRR (2005)
Keyphrases
- monte carlo
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- subspace learning
- low rank
- kernel matrix
- spectral clustering
- iterative algorithms
- monte carlo simulation
- data dependent
- adjacency matrix
- latent semantic indexing
- markov chain
- nonnegative matrix factorization
- particle filter
- reconstruction error
- monte carlo tree search
- least squares
- convex optimization
- machine learning
- principal component analysis
- matrix completion
- face recognition
- dynamic programming
- directed graph
- missing data