Research Article
Accelerating Relevance-Vector-Machine-Based Classification of Hyperspectral Image with Parallel Computing
Table 5
Speedup ratios of parallel RVMs as data size varies, 16 CPUs involved.
| Data set | Data size | pRVM-Ensemble with different p | pRVM-Multiclass | pRVM-MatOp | | 20% | 40% | 60% | |
| DS-A | 848 (20%) | 2.96 | 1.55 | 1.13 | 5.7 | 2.3 | | DS-B | 1697 (40%) | 11.91 | 3.31 | 1.36 | 5.2 | 4.7 | | DS-C | 2546 (60%) | 17.05 | 4.04 | 1.46 | 5.3 | 6.4 | | DS-D | 3395 (80%) | 26.13 | 5.45 | 1.82 | 5.6 | 7.9 | | DS-E | 4244 (100%) | 28.10 | 5.52 | 1.87 | 5.4 | 8.8 | |
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