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Convolutional Analysis Operator Learning: Dependence on Training Data
Convolutional analysis operator learning (CAOL) enables the unsupervised training of (hierarchical) convolutional sparsifying operators or autoencoders from large datasets. One can use many training images for CAOL, but a precise understanding of the impact of doing so has remained an open question....
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| Pubblicato in: | IEEE Signal Process Lett |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7170269/ https://ncbi.nlm.nih.gov/pubmed/32313415 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/lsp.2019.2921446 |
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