Complex Background Reconstruction for Novelty Detection

Complex Background Reconstruction for Novelty Detection

Novelty detection aims to detect samples from classes different from the training samples (i.e., the normal class). Existing approaches predominantly make the target reconstruction better and choose the appropriate reconstruction error measurement method but ignore the influence of background inform...

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Bibliographic Details
Main Authors: Kun Zhao, Man Su, Ran An, Hui He, Zhi Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
figure reconstruction
one-class novelty detection
mutual information fusion
Online Access:https://www.mdpi.com/2076-3417/13/19/10702

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