GridModel - Noise

FSD vs kPCA - comparison on noisy data, fade 2x

FSD Gauss parameters:

  • mi1 = 0 * ones(8)
  • mi2 = 0.8 * ones(8)
  • sigma1 = sigma2 = 2.0

kPCA:

  • kernel: rbf
  • sigma: 0.75

+/-0.05 uniform noise

grid8x8_fade2_noise0.05_fsd_g0_g0.8_s2.pnggrid8x8_fade2_noise0.05_kpca_rbf0.75.png

+/-0.1 uniform noise

grid8x8_fade2_noise0.1_fsd_g0_g0.8_s2.pnggrid8x8_fade2_noise0.1_kpca_rbf0.75.png

+/-0.15 uniform noise

grid8x8_fade2_noise0.15_fsd_g0_g0.8_s2.pnggrid8x8_fade2_noise0.15_kpca_rbf0.75.png

+/-0.2 uniform noise

grid8x8_fade2_noise0.2_fsd_g0_g0.8_s2.pnggrid8x8_fade2_noise0.2_kpca_rbf0.75.png