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Pattern recognition of sacroileitis with the use of multistage logic with a fuzzy loss function

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Warianty tytułu
Konferencja
Computers in Medical Applications: XIIIth Biocybernetics and Biomedical Engineering Conference (10-13 September 2003, Gdańsk, Poland)
Języki publikacji
EN
Abstrakty
EN
The article describes the problem of pattern recognition of sacroileitis. Classification is based on a scheme of multistage recognition with a fuzzy loss function dependent on the node of the decision tree. Decision rules are based on k-nearest neighbors at particular internal nodes of the decision-tree. Paper presents influence of comparison fuzzy numbers on classifications results.
Rocznik
Strony
217--221
Opis fizyczny
Bibliogr. 6 poz., rys., tab.
Twórcy
autor
  • Chair of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland
Bibliografia
  • [1] Almenar V and Albiol A 1999 Signal Processing 75 253
  • [2] Łęski J 2002 IEEE Trans. on Biomed. Engng. 49 (8) 796
  • [3] Hamza B A and Krim H 2001 IEEE Trans. on Signal Processing 49 (12) 3045
  • [4] Gonzalez J G, Griffith D W and Arce G R 1996 Proc. Conf. Inform. Sci. Syst., Princeton, NY USA
  • [5] Shao M and Nikias Ch L 1993 Proc. IEEE 81 (7) 986
  • [6] Kalluri S and Arce G R 1998 IEEE Trans. on Signal Processing 46 (2) 322
  • [7] Barr R E and Chan E K Y 1986 J. Electrophysiol. Tech. 13 73
  • [8] Gonzalez J G, Lau D L and Arce G R Towards a General Theory of Robust Non-linear Filtering: Selection Filters, http://www.ee.udel.edu/signals/robust
  • [9] Tsihrintzis G A, Shao M and Nikias Ch L 1996 J. Franklin Inst. 333(B) (4) 467
  • [10] Georgiou P G, Tsakalides P and Kyriakakis Ch 1999 IEEE Trans. on Multimedia 1 (3) 291
  • [11] Wieczorkowski R and Zieliński R 1997 The Computer Generations of Random Variables, WNT, Warsaw (in Polish)
  • [12] Tsihrintzis G A and Nikias Ch L 1996 IEEE Trans. on Signal Processing 44 (6) 1492
  • [13] Narasimhan S V and Narayana Dutt D 1996 Computers Elect. Eng. 22 (1) 13
  • [14] Graupe D and Cline W K 1975 IEEE Trans. on Systems, Man and Cybernetics SMC-5 (2) 252
  • [15] Pander T 1999 Proc. 11 th Conf. Biocybernetics and Biomedical Engineering, Warsaw, Poland, pp. 817–821 (in Polish)
  • [16] Kalluri S and Arce G R 2000 IEEE Trans. on Signal Processing 48 159
  • [17] Kalluri S and Arce G R 2001 IEEE Trans. on Signal Processing 49 (11) 2721
  • [18] Gonzalez J G and Arce G R 2001 IEEE Trans. on Signal Processing 49 (2) 438
  • [19] Lyons R G 1997 Understanding Digital Signal Processing, Addison-Wesley
  • [20] Laguna P and S¨ornmo L 1998 Proc. 20 th Annual Int. Conf. IEEE/EMBS, Hong Kong, pp. 159–162
  • [21] Orfanidis S J 1996 Introduction to Signal Processing, Prentice-Hall, Englewood Cliffs, NY
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0009-0018
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