An improved confusion matrix for fusing multiple K-SVD classifiers-Reference-Cited by-同舟云学术

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An improved confusion matrix for fusing multiple K-SVD classifiers

Published:2022-02-16 Issue:3 Volume:64 Page:703-722
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Liu Xiaofeng,Liu Wan,Huang Hongsheng,Bo Lin

Funder

the National Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-022-01655-y.pdf

Reference28 articles.

1. Kim M, Han DK, Ko H (2016) Joint patch clustering-based dictionary learning for multimodal image Fusion. Inf Fusion 27:198–214

2. Nejati M, Samavi S, Shirani S (2015) Multi-focus image fusion using dictionary-based sparse representation. Inf Fusion 25:72–84

3. Sun XP, Wang J, She MFH, Kong LX (2013) Scale invariant texture classification via sparse representation. Neurocomputing 122:338–348. https://doi.org/10.1016/j.neucom.2013.06.016

4. Yazdi SV, Douzal-Chouakria A (2018) Time warp invariant k-SVD: sparse coding and dictionary learning for time series under time warp. Pattern Recogn Lett 112:1–8. https://doi.org/10.1016/j.patrec.2018.05.017

5. Zhao ZB, Qiao BJ, Wang SB, Shen ZX, Chen XF (2019) A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis. J Sound Vib 446:429–452. https://doi.org/10.1016/j.jsv.2019.01.042

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