Gunasekaran, Yeshwanth D.; Rahman, Md Farhadur; Hasani, Sona; Zhang, Nan; Das, Gautam
(, Proceedings of the 2018 International Conference on Management of Data)
Nooraiepour, Alireza, Bajwa, Waheed, and Mandayam, Narayan. A Hybrid Model-Based and Learning-Based Approach for Classification Using Limited Number of Training Samples. Retrieved from https://par.nsf.gov/biblio/10401058. IEEE Open Journal of Signal Processing 3. Web. doi:10.1109/OJSP.2021.3135254.
Nooraiepour, Alireza, Bajwa, Waheed, & Mandayam, Narayan. A Hybrid Model-Based and Learning-Based Approach for Classification Using Limited Number of Training Samples. IEEE Open Journal of Signal Processing, 3 (). Retrieved from https://par.nsf.gov/biblio/10401058. https://doi.org/10.1109/OJSP.2021.3135254
Nooraiepour, Alireza, Bajwa, Waheed, and Mandayam, Narayan.
"A Hybrid Model-Based and Learning-Based Approach for Classification Using Limited Number of Training Samples". IEEE Open Journal of Signal Processing 3 (). Country unknown/Code not available. https://doi.org/10.1109/OJSP.2021.3135254.https://par.nsf.gov/biblio/10401058.
@article{osti_10401058,
place = {Country unknown/Code not available},
title = {A Hybrid Model-Based and Learning-Based Approach for Classification Using Limited Number of Training Samples},
url = {https://par.nsf.gov/biblio/10401058},
DOI = {10.1109/OJSP.2021.3135254},
abstractNote = {},
journal = {IEEE Open Journal of Signal Processing},
volume = {3},
author = {Nooraiepour, Alireza and Bajwa, Waheed and Mandayam, Narayan},
}
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