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Author (up) Pierluigi Casale; Oriol Pujol; Petia Radeva edit  url
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  Title Approximate Convex Hulls Family for One-Class Cassification Type Conference Article
  Year 2011 Publication 10th International Workshop on Multiple Classifier Systems Abbreviated Journal  
  Volume 6713 Issue Pages 106-115  
  Keywords  
  Abstract In this work, a new method for one-class classification based on the Convex Hull geometric structure is proposed. The new method creates a family of convex hulls able to fit the geometrical shape of the training points. The increased computational cost due to the creation of the convex hull in multiple dimensions is circumvented using random projections. This provides an approximation of the original structure with multiple bi-dimensional views. In the projection planes, a mechanism for noisy points rejection has also been elaborated and evaluated. Results show that the approach performs considerably well with respect to the state the art in one-class classification.  
  Address Napoli, Italy  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor Carlo Sansone; Josef Kittler; Fabio Roli  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-21556-8 Medium  
  Area Expedition Conference MCS  
  Notes MILAB;HuPBA Approved no  
  Call Number Admin @ si @ CPR2011b Serial 1761  
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