Quantifying Raw RF Dataset Similarity for Transfer Learning Applications

Transfer learning (TL) has proven to be a transformative technology for computer vision (CV) and natural language processing (NLP) applications, offering improved generalization, state-of-the-art performance, and faster training time with less labelled data. As a result, TL has been identified as a...

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Bibliographic Details
Main Authors: Lauren J. Wong, Sean McPherson, Alan J. Michaels
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9939171/