A boundary method for outlier detection based on support vector domain description

DOI10.1016/j.patcog.2008.07.003zbMath1159.68528OpenAlexW2038565761MaRDI QIDQ955827

Jason Sheng-Hong Tsai, Lichun Chen, Shu-Mei Guo

Publication date: 20 November 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.07.003

zbMATH Keywords

outlier detectionsupport vector domain description

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Two-class support vector data description ⋮ Theoretical analysis for solution of support vector data description ⋮ An improved semisupervised outlier detection algorithm based on adaptive feature weighted clustering ⋮ Selective ensemble of SVDDs with Renyi entropy based diversity measure ⋮ Ellipse Support Vector Data Description ⋮ Multi-class Bayesian support vector data description with anomalies

Uses Software

• UCI-ml
• LIBSVM

Cites Work

• Kernel PCA for novelty detection
• A survey of outlier detection methodologies
• On Estimation of a Probability Density Function and Mode
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