Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation.
Frank-Michael SchleifAta KabánPeter TiñoPublished in: ANNPR (2016)
Keyphrases
- shift invariant
- translation invariant
- wavelet coefficients
- wavelet domain
- discrete wavelet transform
- rotation invariant
- feature space
- sparse coding
- image features
- feature set
- shift variant
- small number
- edge preserving
- blurred images
- wavelet transform
- multiresolution
- feature vectors
- least squares
- synthetic and real images