One-Class Classification Using Generative Adversarial Networks

One-Class Classification Using Generative Adversarial Networks

One-class classification (OCC) problem has drawn increasing attention in recent years. It expands the range of classification from pre-defined categories to undefined categories. Since the vast diversity of negative samples, it is hard to acquire complete knowledge of unknown classes and construct a...

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Bibliographic Details
Main Authors: Yang Yang, Chunping Hou, Yue Lang, Guanghui Yue, Yuan He
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Generative adversarial networks
one-class
image classification
Online Access:https://ieeexplore.ieee.org/document/8673546/

Internet

https://ieeexplore.ieee.org/document/8673546/

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