Automatic Date Fruit Recognition Using Outlier Detection Techniques and Gaussian Mixture Models
- DOI
- 10.5565/rev/elcvia.1041
- Published
- 2019-06-27
- Container
- ELCVIA Electronic Letters on Computer Vision and Image Analysis
- Publisher
- Universitat Autonoma de Barcelona
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5565/rev/elcvia.1041,
title = {Automatic Date Fruit Recognition Using Outlier Detection Techniques and Gaussian Mixture Models},
author = {Oussama Aiadi and Mohammed Lamine Kherfi and Belal Khaldi},
year = {2019},
journal = {ELCVIA Electronic Letters on Computer Vision and Image Analysis},
doi = {10.5565/rev/elcvia.1041},
url = {https://doi.org/10.5565/rev/elcvia.1041}
}RIS
TY - JOUR TI - Automatic Date Fruit Recognition Using Outlier Detection Techniques and Gaussian Mixture Models AU - Oussama Aiadi AU - Mohammed Lamine Kherfi AU - Belal Khaldi PY - 2019 JO - ELCVIA Electronic Letters on Computer Vision and Image Analysis DO - 10.5565/rev/elcvia.1041 UR - https://doi.org/10.5565/rev/elcvia.1041 ER -
APA
Aiadi, O., Kherfi, M. L., & Khaldi, B. (2019). Automatic Date Fruit Recognition Using Outlier Detection Techniques and Gaussian Mixture Models. ELCVIA Electronic Letters on Computer Vision and Image Analysis. https://doi.org/10.5565/rev/elcvia.1041
Source records
- crossref · retrieved 2026-09-25T22:37:21.446Z