Deep Moore-Penrose Inverse Network with Refinement Strategy for One-class Classification-Reference-Cited by-同舟云学术

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Deep Moore-Penrose Inverse Network with Refinement Strategy for One-class Classification

Published:2023-10-01 Issue: Volume:28 Page:647-652
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
language:
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Author:

Gao Junna¹,Kong Dehui¹,Yin Baocai¹,Lin Weisi²,Zhang Wandong³

Affiliation:

1. Beijing Institute of Artificial Intelligence, Beijing University of Technology,Beijing,China

2. School of Computer Science and Engineering, Nanyang Technological University,Singapore

3. Western University,Department of Electrical and Computer Engineering,London,Canada

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394523.pdf?arnumber=10394523

Reference21 articles.

1. A New One-Class Classification Method Based on Symbolic Representation: Application to Document Classification

2. The “independent components” of natural scenes are edge filters

3. Maximum Correntropy Criterion-Based Hierarchical One-Class Classification

4. A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

5. Robust Randomized Autoencoder and Correntropy Criterion-Based One-Class Classification

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