Deep Rule-Based Classifier
The package contains:
1. DRB.m - The source code of the recently introduced Deep Rule-Based Classifier;
2. Deep Rule-Based Classifier.pdf - The instruction of the source code;
3. MNISTexample.mat - The example images and the extracted features.
References:
[1] X. Gu, P. Angelov, C. Zhang and P. M. Atkinson , “A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes,” IEEE Geoscience and Remote Sensing Letters, vol.15(3), pp. 345 - 349, 2018.
[2] P. Angelov and X. Gu, “Deep Rule-Based Classifier with Human-level Performance and Characteristics,” Information Sciences, vol.463-464, pp. 196-213., 2018.
For any queries about the codes, please contact Prof. Plamen P. Angelov (p.angelov@lancaster.ac.uk) and Dr. Xiaowei Gu (x.gu3@lancaster.ac.uk)
The semi-supervised learning extension of the Deep Rule-Based Classifier is available at: https://uk.mathworks.com/matlabcentral/fileexchange/67773-semi-supervised-deep-rule-based-classifier?s_tid=prof_contriblnk
Programmed by Xiaowei Gu
Citation pour cette source
X. Gu, P. Angelov, C. Zhang and P. M. Atkinson , “A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes,” IEEE Geoscience and Remote Sensing Letters, vol.15(3), pp. 345 - 349, 2018.
P. Angelov and X. Gu, “Deep Rule-Based Classifier with Human-level Performance and Characteristics,” Information Sciences, vol.463-464, pp. 196-213., 2018.
Compatibilité avec les versions de MATLAB
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
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DRBclassifier
Version | Publié le | Notes de version | |
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1.0.0.3 | Updated References |
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1.0.0.2 | Updated Description |
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1.0.0.1 | Updated references |
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1.0.0.0 |