IEEE - Institute of Electrical and Electronics Engineers, Inc. - Graph-based semi-supervised Support Vector Data Description for novelty detection

2015 International Joint Conference on Neural Networks (IJCNN)

Author(s): Phuong Duong ; Van Nguyen ; Mi Dinh ; Trung Le ; Dat Tran ; Wanli Ma
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2015
Conference Location: Killarney, Ireland
Conference Date: 12 July 2015
Page(s): 1 - 6
ISBN (Electronic): 978-1-4799-1960-4
ISBN (DVD): 978-1-4799-1959-8
ISSN (Electronic): 2161-4407
DOI: 10.1109/IJCNN.2015.7280565
Regular:

Support Vector Data Description (SVDD) is a well-known supervised learning method for novelty detection purpose. For its classification task, SVDD requires a fully-labeled dataset. Nonetheless,... View More

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