Correlation-based initialization algorithm for tensor-based HSI compression methods-Reference-Cited by-同舟云学术

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Correlation-based initialization algorithm for tensor-based HSI compression methods

Published:2020-05-14 Issue:29-30 Volume:79 Page:21925-21940
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Li Rui,Pan Zhibin,Wang Yang

Funder

Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences

National Laboratory of Pattern Recognition

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-020-09007-0.pdf

Reference30 articles.

1. Akbari H, Kosugi Y, Kojima K, Tanaka N (2010) Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging. IEEE Trans Biomed Eng 57(8):2011–2017

2. Bader BW, Kolda TG et al (2015) Matlab tensor toolbox version 2.6. available online. http://www.sandiagov/tgkolda/TensorToolbox

3. Cichocki A, Zdunek R, Si A (2008) Nonnegative matrix and tensor factorization [lecture notes]. IEEE Signal Proc Mag 25(1):142–145

4. Coutinho V d A, Cintra R J, Bayer F M (2017) Low-complexity multidimensional dct approximations for high-order tensor data decorrelation. IEEE Trans Image Process 26(5):2296–2310

5. Da Silva Fernandes S, Tork H F, da Gama J M P (2017) The initialization and parameter setting problem in tensor decomposition-based link prediction. In: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE, pp 99–108

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