A hierarchical convolutional dictionary learning model for piecewise smooth signals using recursive scale-detail filtering and sparse coding, learned by alternating minimization and demonstrated on MNIST.
Markov random field extensions us- ing state space models,
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Convolutional Dictionary Learning in Hierarchical Networks
A hierarchical convolutional dictionary learning model for piecewise smooth signals using recursive scale-detail filtering and sparse coding, learned by alternating minimization and demonstrated on MNIST.