A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

Pang, Jong-Shi; Hong, Mingyi; Razaviyayn, Meisam; Luo, Zhi-Quan

doi:10.1109/MSP.2015.2481563

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A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

Author(s): Mingyi Hong , Meisam Razaviyayn , Zhi-Quan Luo , Jong-Shi Pang

Publication date (Print): January 2016

Journal: IEEE Signal Processing Magazine

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Compressed sensing

D.L. Donoho (2006)

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Tensor Decompositions and Applications

Tamara G. Kolda, Brett W. Bader (2009)

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$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

M. Aharon, M Elad, A. Bruckstein (2006)

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Journal

Title: IEEE Signal Processing Magazine

Abbreviated Title: IEEE Signal Process. Mag.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1053-5888

Publication date Created: January 2016

Publication date (Print): January 2016

Volume: 33

Issue: 1

Pages: 57-77

Article

DOI: 10.1109/MSP.2015.2481563

SO-VID: cfab0ebd-a8df-44a3-bc64-911438f146c4

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A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

Read this article at

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New directions in predictive processing

Most cited references 64

Compressed sensing

Tensor Decompositions and Applications

$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

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