On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions.
Yusuke TsuzukuIssei SatoPublished in: CoRR (2018)
Keyphrases
- basis functions
- series expansion
- linear combination
- hilbert transform
- deep learning
- radial basis function
- nonlinear functions
- spherical harmonics
- zernike moments
- signal reconstruction
- b spline
- state space
- sparse coding
- unsupervised feature learning
- set of basis functions
- wavelet bases
- image reconstruction
- fourier transform
- matching pursuit
- radon transform
- hough transform
- frequency domain
- reinforcement learning
- learning algorithm
- machine learning