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Sparse coded spatial pyramid matching and multi-kernel integrated SVM for non-linear scene classification Cover

Sparse coded spatial pyramid matching and multi-kernel integrated SVM for non-linear scene classification

Journal of Electrical Engineering
Volume 72 (2021): Issue 6 (December 2021)
By: Bhavinkumar Gajjar,  Hiren Mewada and  Ashwin Patani  
Open Access
|Dec 2021

Authors

Bhavinkumar Gajjar

bhavingajjar.rs@indusuni.ac.in

Department of Electronics and Communication Engineering, Indus University, India

Hiren Mewada

Department of Electrical Engineering, Prince Mohammad Bin Fahd University, Saudi Arabia

Ashwin Patani

Department of Electronics and Communication Engineering, Indus University, India
DOI: https://doi.org/10.2478/jee-2021-0053 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 374 - 380
Submitted on: May 3, 2021
|
Published on: Dec 22, 2021
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
multiple kernel learning,
support vector machine,
classification,
SIFT,
spatial pyramid matching (SPM)
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2021 Bhavinkumar Gajjar, Hiren Mewada, Ashwin Patani, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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