Distributed Analysis Dictionary Learning Using a Diffusion Strategy-Reference-Cited by-同舟云学术

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Distributed Analysis Dictionary Learning Using a Diffusion Strategy

Published:2022-01-04 Issue:3 Volume:54 Page:2267-2281
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Dong Jing^ORCID,Yang Liu,Liu Chang,Luo Xiaoqing,Guan Jian

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Six Talent Climax Foundation of Jiangsu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-021-10729-x.pdf

Reference28 articles.

1. Aharon M, Elad M, Bruckstein A (2006) K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process 54(11):4311–4322

2. Cattivelli FS, Sayed AH (2010) Diffusion LMS strategies for distributed estimation. IEEE Trans Signal Process 58(3):1035–1048

3. Chen J, Towfic ZJ, Sayed AH (2015) Dictionary learning over distributed models. IEEE Trans Signal Process 63(4):1001–1016

4. Dai W, Xu T, Wang W (2012) Simultaneous codeword optimization (SimCO) for dictionary update and learning. IEEE Trans Signal Process 60(12):6340–6353

5. Daneshmand A, Sun Y, Scutari G, Facchinei F (2017) D2l: Decentralized dictionary learning over dynamic networks. In: 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 4084–4088

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