Active Learning of Pattern Classification Based on PEDCC-Loss

Deep learning classifiers require a large number of labeled samples to train the model. Active learning reduces the dependence of classification model on labeled samples by gradually selecting high-quality samples for iterative training. In this article, an active learning method for pattern classif...

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Bibliographic Details
Main Authors: Qiuyu Zhu, Jianbing Luan, Tiantian Li, Xuewen Zu
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Online Access:https://doaj.org/article/79ec406f64c141e78db6def879c1bb4b
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