A spatial-domain solver that randomly subsamples sparse-code coordinates each iteration reports 2x to 6x speedups over Fourier-domain convolutional sparse coding baselines with comparable quality, and scales to over-complete dictionary learning from thousands of images.
: The tradeoffs of large scale learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Stochastic Convolutional Sparse Coding
A spatial-domain solver that randomly subsamples sparse-code coordinates each iteration reports 2x to 6x speedups over Fourier-domain convolutional sparse coding baselines with comparable quality, and scales to over-complete dictionary learning from thousands of images.