294 citations · 1.8k across the 62 of their papers we have counts for
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Convolutional Analysis Operator Learning: Dependence on Training Data
Il Yong Chun, David Hong, Ben Adcock +1
Convolutional analysis operator learning (CAOL) enables the unsupervised training of (hierarchical) convolutional sparsifying operators or autoencoders from large datasets. One can…
Convolutional Dictionary Learning: Acceleration and Convergence
Il Yong Chun, Jeffrey A. Fessler
Convolutional dictionary learning (CDL or sparsifying CDL) has many applications in image processing and computer vision. There has been growing interest in developing efficient al…
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The Method
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
The sparsity of natural signals and images in a transform domain or dictionary has been extensively exploited in several applications such as compression, denoising and inverse pro…
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
The sparsity of signals in a transform domain or dictionary has been exploited in applications such as compression, denoising and inverse problems. More recently, data-driven adapt…