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Hyperparameter selection of one-class support vector machine by self-adaptive data shifting

Wang, Siqi; Liu, Qiang; Zhu, En; Porikli, Fatih; Yin, Jianping

Description

With flexible data description ability, one-class Support Vector Machine (OCSVM) is one of the most popular and widely-used methods for one-class classification (OCC). Nevertheless, the performance of OCSVM strongly relies on its hyperparameter selection, which is still a challenging open problem due to the absence of outlier data. This paper proposes a fully automatic OCSVM hyperparameter selection method, which requires no tuning of additional hyperparameter, based on a novel self-adaptive...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
URI: http://hdl.handle.net/1885/139134
Source: Pattern Recognition
DOI: 10.1016/j.patcog.2017.09.012

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