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Open-Set Recognition Using Intra-Class Splitting
This enables to model the abnormal classes by atypical normal samples.
Deep One-Class Classification Using Intra-Class Splitting
In one-class classification, only samples of one normal class are available for training.
Active Learning for One-Class Classification Using Two One-Class Classifiers
Active learning methods play an important role to reduce the efforts of manual labeling in the field of machine learning.
One-Class Feature Learning Using Intra-Class Splitting
This paper proposes a novel generic one-class feature learning method based on intra-class splitting.
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