Tensor-based sparsity order estimation for big data applications

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 01 Aug 2017Publisher:IEEEJournal:2017 25th European Signal Processing Conference (EUSIPCO)

Authors: Kefei Liu; Florian Roemer; João Paulo Costa; Jie Xiong; Yao Yan; Wen-Qin Wang; Giovanni Del Galdo;

doi: 10.23919/eusipco.2017.8081287 , 10.5281/zenodo.1159929 , 10.60692/18yz9-23678 , 10.60692/yfmgn-j3e39 , 10.5281/zenodo.1159930

Tensor-based sparsity order estimation for big data applications

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Abstract

Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017

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Keywords

Tensor Decompositions and Applications in Multilinear Algebra, Blind Source Separation and Independent Component Analysis, Higher-Order Tensors, Tensor (intrinsic definition), Economics, Sparsity in Signal Processing, Computational Mechanics, Systems engineering, Sparse Approximation, Big data, Engineering, Compressed Sensing, FOS: Mathematics, Data mining, Order (exchange), Pure mathematics, Theory and Applications of Compressed Sensing, Computer science, Computational Mathematics, Physical Sciences, Signal Processing, Computer Science, Sparse Representations, Estimation, Mathematics, Finance

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