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A new maximum margin algorithm for one-class problems and its boosting implementation

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Publication:1779737
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DOI10.1016/j.patcog.2004.10.010zbMath1074.68595OpenAlexW2050025334MaRDI QIDQ1779737

Jue Wang, Gao-wei Wu, Qing Tao

Publication date: 1 June 2005

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2004.10.010


zbMATH Keywords

MarginOutliersSupport vector machinesBoostingStatistical learning theoryOne-class problems


Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)


Related Items (3)

Learning linear PCA with convex semi-definite programming ⋮ Approximate polytope ensemble for one-class classification ⋮ Selection-fusion approach for classification of datasets with missing values



Cites Work

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  • Support vector data description
  • Arbitrary-norm separating plane
  • Estimating the Support of a High-Dimensional Distribution
  • A theory of the learnable
  • 10.1162/15324430152748227
  • Linear programming boosting via column generation


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