Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures.
Sameh AbdulahHatem LtaiefYing SunMarc G. GentonDavid E. KeyesPublished in: CoRR (2018)
Keyphrases
- maximum likelihood estimation
- low rank matrix approximation
- low rank approximation
- maximum likelihood
- em algorithm
- singular value decomposition
- subspace learning
- parameter estimation
- expectation maximization
- low rank
- probability distribution
- density function
- latent semantic indexing
- density estimation
- adjacency matrix
- kernel matrix
- reconstruction error
- machine learning
- spectral clustering
- support vector
- objective function
- computer vision