基于GPU并行加速的多特征融合的超图降维方法 (Hypergraph Dimensionality Reduction with Multiple Feature Fusion Based on GPU Parallel Acceleration).
Chaoqun HongXuhui ChenXiaodong WangShijin LiKeshou WuPublished in: 计算机科学 (2015)
Keyphrases
- parallel implementation
- graphics processing units
- dimensionality reduction
- parallel computing
- parallel computation
- parallel processing
- parallel programming
- multiple feature fusion
- real time
- cluster of workstations
- graphics hardware
- general purpose
- parallel architectures
- parallel hardware
- gpu implementation
- heterogeneous computing
- neural network
- low dimensional
- data representation
- efficient implementation
- multi core processors
- high dimensionality
- structure preserving
- graphics processors
- gpu accelerated
- high dimensional
- feature extraction
- high performance computing
- massively parallel
- shared memory
- computing systems
- face recognition