This paper modifies the CAOL Procrustes filter update to allow some filters to be handcrafted. Doing so makes it possible to incorporate domain knowledge in the ...

INCORPORATING HANDCRAFTED FILTERS IN CONVOLUTIONAL ANALYSIS. OPERATOR LEARNING FOR ILL-POSED INVERSE PROBLEMS. Caroline Crockett*, David Hong*, Il Yong Chun ...

The second experiment in Chapter 9 presents the work from Crockett, Hong, Chun, et al. [9] on learning sparsifying filters for CT image reconstruction.

Oct 28, 2019 · INCORPORATING HANDCRAFTED FILTERS IN CONVOLUTIONAL ANALYSIS OPERATOR LEARNING FOR ILL-POSED INVERSE PROBLEMS. Authors, Caroline Crockett ...

Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems. Crockett, C., Hong, D., Chun, I. Y., & Fessler ...

INCORPORATING HANDCRAFTED FILTERS IN CONVOLUTIONAL ANALYSIS OPERATOR LEARNING FOR ILL-POSED INVERSE PROBLEMS. Authors, Caroline Crockett, David Hong ...

Hong, I. Y. Chun, and J. A. Fessler, “Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems,” in Proc.

Fessler, "Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems," in Proc. IEEE CAMSAP, pp. 316-320 ...

[18] “Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems,” Special session on Computational ...

Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems. CAMSAP 2019: 316-320. [c10]. view. electronic ...