Learning the sparse prior: Modern approaches

The sparse prior has been widely adopted to establish data models for numerous applications. In this context, most of them are based on one of three foundational paradigms: the conventional sparse representation, the convolutional sparse representation, and the multi‐layer convolutional sparse repre...

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Bibliographic Details
Published in:	Wiley interdisciplinary reviews. Computational statistics Vol. 16; no. 1; pp. e1646 - n/a
Main Author:	Peng, Guan‐Ju
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 01.01.2024 Wiley Subscription Services, Inc
Subjects:	algorithm unrolling Algorithms Coding convex and non‐convex optimization Convexity convolutional sparse model Data analysis Dictionaries dictionary learning Glossaries Graphical methods Learning Machine learning Modelling Morphology multi‐layer convolutional sparse model Neural networks Optimization recurrent neural network Recurrent neural networks Representations sparse coding sparse prior Supervised learning Training
ISSN:	1939-5108, 1939-0068
Online Access:	Get full text
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