Efficient Approximate Online Convolutional Dictionary Learning

Most existing convolutional dictionary learning (CDL) algorithms are based on batch learning, where the dictionary filters and the convolutional sparse representations are optimized in an alternating manner using a training dataset. When large training datasets are used, batch CDL algorithms become...

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Vydané v:	IEEE transactions on computational imaging Ročník 9; s. 1165 - 1175
Hlavní autori:	Veshki, Farshad G., Vorobyov, Sergiy A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Computer vision Convolution Convolutional codes Convolutional sparse coding Datasets Dictionaries Machine learning Memory management online convolutional dictionary learning Optimization Representations Training
ISSN:	2573-0436, 2333-9403
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