Newton Method-Based Subspace Support Vector Data Description
Author:
Affiliation:
1. Tampere University,Faculty of Information Technology and Communication Sciences,Tampere,Finland
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371857.pdf?arnumber=10371857
Reference26 articles.
1. Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers
2. Tumor Detection in MR Images Using One-Class Immune Feature Weighted SVMs
3. Support Vector Data Description (SVDD) based Inverter Fault Diagnostic Method
4. Boosting Rare Benthic Macroinvertebrates Taxa Identification With One-Class Classification
5. Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
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1. Trustworthiness of $$\mathbb {X}$$ Users: A One-Class Classification Approach;Lecture Notes on Data Engineering and Communications Technologies;2024
2. Malware Detection With Subspace Learning-Based One-Class Classification;IEEE Access;2024
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