Kernel Approximation on USPS
2.15Kernel Approximation ErrorQMC (Halton)
Evaluation Results
| Method | Links | |
|---|---|---|
| QMC (Halton)Number of random features (k)=12802016.05 | 2.15 | |
| GaussianNumber of random features (k)=12802016.05 | 2.32 | |
| ToeplitzLike(20)Number of random features (k)=12802016.05 | 3 | |
| FastfoodNumber of random features (k)=12802016.05 | 3.06 | |
| ToeplitzLike(10)Number of random features (k)=12802016.05 | 3.16 | |
| CirculantNumber of random features (k)=12802016.05 | 3.32 | |
| ToeplitzLike(5)Number of random features (k)=12802016.05 | 3.35 | |
| ToeplitzLike(1)Number of random features (k)=12802016.05 | 4.41 | |
| QMC (Halton)Number of random features (k)=2562016.05 | 5.05 | |
| GaussianNumber of random features (k)=2562016.05 | 5.06 | |
| ToeplitzLike(20)Number of random features (k)=2562016.05 | 6.68 | |
| FastfoodNumber of random features (k)=2562016.05 | 6.76 | |
| ToeplitzLike(10)Number of random features (k)=2562016.05 | 6.86 | |
| ToeplitzLike(5)Number of random features (k)=2562016.05 | 7.55 | |
| CirculantNumber of random features (k)=2562016.05 | 7.61 | |
| ToeplitzLike(1)Number of random features (k)=2562016.05 | 9.66 |