Fast Monte-Carlo low rank approximations for matrices.
Shmuel FriedlandAmir NiknejadMostafa KavehHossein ZarePublished in: SoSE (2006)
Keyphrases
- monte carlo
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- kernel matrix
- spectral clustering
- iterative algorithms
- markov chain
- monte carlo simulation
- latent semantic indexing
- nonnegative matrix factorization
- data dependent
- reconstruction error
- adjacency matrix
- particle filter
- monte carlo tree search
- high dimensional data
- kernel methods
- convex optimization
- directed graph
- matrix factorization
- face recognition
- missing data
- kernel function
- linear combination
- dimensionality reduction
- least squares
- semi supervised
- state space
- pairwise
- feature space