---
_id: '2113'
abstract:
- lang: eng
  text: In this paper, we sketch an idea for the integration of singleclass support
    vector machines (SVM) into fuzzy class learning. As result,we  obtain  robust  and  transparent  rule-based  fuzzy  classification  models
    suitable for online-classification tasks. In particular, the singleclass SVM is
    employed to extend the applicability of convex fuzzy classifica-tion models to
    nonconvex datainherent structures. The key point of thisextension  is  the  preservation  of  the  interpretability  for  both,  the  classlearning
    and the classification process. The feasibility of the approach isdemonstrated
    in the context of a banknote authentication application.
author:
- first_name: Arne-Jens
  full_name: Hempel, Arne-Jens
  last_name: Hempel
- first_name: Holger
  full_name: Hähnel, Holger
  last_name: Hähnel
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification
    for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In:
    <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum
    Industrial IT, Lemgo,</i>. inIT-Institut für industrielle Informationstechnik;
    2012.'
  apa: Hempel, A.-J., Hähnel, H., Mönks, U., &#38; Lohweg, V. (2012). SVM-integrated
    Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to
    Banknote Authentication. In <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung
    in der Automation” Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle
    Informationstechnik.
  bjps: <b>Hempel A-J <i>et al.</i></b> (2012) SVM-Integrated Fuzzy Pattern Classification
    for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. <i>BVAu
    2012 - 3. Jahresolloquium ‘Bildverarbeitung in Der Automation’ Centrum Industrial
    IT, Lemgo,</i>. inIT-Institut für industrielle Informationstechnik.
  chicago: Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks, and Volker Lohweg. “SVM-Integrated
    Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to
    Banknote Authentication.” In <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung
    in Der Automation” Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle
    Informationstechnik, 2012.
  chicago-de: 'Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks und Volker Lohweg. 2012.
    SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures
    Applied to Banknote Authentication. In: <i>BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung
    in der Automation“ Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle
    Informationstechnik.'
  din1505-2-1: '<span style="font-variant:small-caps;">Hempel, Arne-Jens</span> ;
    <span style="font-variant:small-caps;">Hähnel, Holger</span> ; <span style="font-variant:small-caps;">Mönks,
    Uwe</span> ; <span style="font-variant:small-caps;">Lohweg, Volker</span>: SVM-integrated
    Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to
    Banknote Authentication. In: <i>BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung
    in der Automation“ Centrum Industrial IT, Lemgo,</i> : inIT-Institut für industrielle
    Informationstechnik, 2012'
  havard: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, SVM-integrated Fuzzy Pattern
    Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,
    in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum
    Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.'
  ieee: A.-J. Hempel, H. Hähnel, U. Mönks, and V. Lohweg, “SVM-integrated Fuzzy Pattern
    Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,”
    in <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum
    Industrial IT, Lemgo,</i> 2012.
  mla: Hempel, Arne-Jens, et al. “SVM-Integrated Fuzzy Pattern Classification for
    Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” <i>BVAu
    2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial
    IT, Lemgo,</i> inIT-Institut für industrielle Informationstechnik, 2012.
  short: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, in: BVAu 2012 - 3. Jahresolloquium
    “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut
    für industrielle Informationstechnik, 2012.'
  ufg: '<b>Hempel, Arne-Jens et. al. (2012)</b>: SVM-integrated Fuzzy Pattern Classification
    for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in:
    <i>BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum
    Industrial IT, Lemgo,</i>.'
  van: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification
    for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In:
    BVAu 2012 - 3 Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial
    IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.'
date_created: 2019-12-03T06:50:52Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
keyword:
- fuzzy  classification
- pattern  recognition
- single-class  support vector machine
- data mining
language:
- iso: eng
publication: BVAu 2012 - 3. Jahresolloquium "Bildverarbeitung in der Automation" Centrum
  Industrial IT, Lemgo,
publisher: inIT-Institut für industrielle Informationstechnik
status: public
title: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures
  Applied to Banknote Authentication
type: conference
user_id: '45673'
year: 2012
...