Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification
- DOI
- 10.1109/tcyb.2017.2748500
- Published
- 2018-09
- Container
- IEEE Transactions on Cybernetics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2017.2748500,
title = {Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification},
author = {Luping Ji and Yan Ren and Guisong Liu and Xiaorong Pu},
year = {2018},
journal = {IEEE Transactions on Cybernetics},
doi = {10.1109/tcyb.2017.2748500},
url = {https://doi.org/10.1109/tcyb.2017.2748500}
}RIS
TY - JOUR TI - Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification AU - Luping Ji AU - Yan Ren AU - Guisong Liu AU - Xiaorong Pu PY - 2018 JO - IEEE Transactions on Cybernetics DO - 10.1109/tcyb.2017.2748500 UR - https://doi.org/10.1109/tcyb.2017.2748500 ER -
APA
Ji, L., Ren, Y., Liu, G., & Pu, X. (2018). Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2017.2748500
Source records
- crossref · retrieved 2026-11-04T19:01:34.139Z