Expectation-Maximization Algorithms for Gaussian Mixture Models Using Linear Algebra Libraries on Parallel Shared-Memory Systems.
Wojciech KwedloPublished in: FedCSIS (2023)
Keyphrases
- linear algebra
- shared memory
- gaussian mixture model
- parallel computers
- expectation maximization
- parallel architectures
- mixture model
- distributed memory
- em algorithm
- computer architecture
- message passing
- parallel computing
- parallel programming
- parallel algorithm
- multi processor
- maximum likelihood
- parallel implementation
- image processing
- parallel processing
- massively parallel
- data management
- unsupervised learning
- computer systems
- singular value decomposition
- parallel machines
- computing systems
- generative model
- data processing
- distributed systems
- feature vectors
- pairwise
- feature space