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Volumn 295, Issue , 2014, Pages 123-132

Generative versus Discriminative Prototype Based Classification

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; MATHEMATICAL MODELS;

EID: 84903538352     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-07695-9_12     Document Type: Conference Paper
Times cited : (13)

References (17)
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    • In: Bianchini, M., Maggini, M., Scarselli, F. (eds.), SCI, Springer, Heidelberg
    • Biehl, M., Hammer, B., Schneider, P., Villmann, T.: Metric learning for prototype based classification. In: Bianchini, M., Maggini, M., Scarselli, F. (eds.) Innovations in Neural Information - Paradigms and Applications. SCI, vol. 247, pp. 183-199. Springer, Heidelberg (2009)
    • (2009) Innovations In Neural Information - Paradigms and Applications , vol.247 , pp. 183-199
    • Biehl, M.1    Hammer, B.2    Schneider, P.3    Villmann, T.4
  • 4
    • 84863364382 scopus 로고    scopus 로고
    • White box classification of dissimilarity data
    • Corchado, E., Snávsel, V., Abraham, A., Wózniak, M., Granã, M., Cho, S.-B. (eds.), Springer, Heidelberg
    • Hammer, B., Mokbel, B., Schleif, F.-M., Zhu, X.: White box classification of dissimilarity data. In: Corchado, E., Snávsel, V., Abraham, A., Wózniak, M., Granã, M., Cho, S.-B. (eds.) HAIS 2012, Part III. LNCS, vol. 7208, pp. 309-321. Springer, Heidelberg (2012)
    • (2012) HAIS 2012, Part III. LNCS , vol.7208 , pp. 309-321
    • Hammer, B.1    Mokbel, B.2    Schleif, F.-M.3    Zhu, X.4
  • 6
    • 12844250052 scopus 로고    scopus 로고
    • Supervised neural gas with general similarity measure
    • Hammer, B., Strickert, M., Villmann, T.: Supervised neural gas with general similarity measure. Neural Processing Letters 21(1), 21-44 (2005)
    • (2005) Neural Processing Letters , vol.21 , Issue.1 , pp. 21-44
    • Hammer, B.1    Strickert, M.2    Villmann, T.3
  • 7
    • 0036791938 scopus 로고    scopus 로고
    • Generalized relevance learning vector quantization
    • Hammer, B., Villmann, T.: Generalized relevance learning vector quantization. Neural Networks 15(8-9), 1059-1068 (2002)
    • (2002) Neural Networks , vol.15 , Issue.8-9 , pp. 1059-1068
    • Hammer, B.1    Villmann, T.2
  • 8
    • 39649088014 scopus 로고    scopus 로고
    • A biologically motivated visual memory architecture for online learning of objects
    • Kirstein, S., Wersing, H., Körner, E.: A biologically motivated visual memory architecture for online learning of objects. Neural Networks 21(1), 65-77 (2008)
    • (2008) Neural Networks , vol.21 , Issue.1 , pp. 65-77
    • Kirstein, S.1    Wersing, H.2    Körner, E.3
  • 9
    • 0025489075 scopus 로고
    • The self-organizing map
    • Kohonen, T.: The self-organizing map. Proc. of the IEEE 78(9), 1464-1480 (1990)
    • (1990) Proc. of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 10
    • 84903515058 scopus 로고    scopus 로고
    • D. of Statistics at Carnegie Mellon University
    • D. of Statistics at Carnegie Mellon University, http://lib.stat.cmu.edu/datasets/
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  • 13
    • 72249111970 scopus 로고    scopus 로고
    • Adaptive relevance matrices in learning vector quantization
    • Schneider, P., Biehl, M., Hammer, B.: Adaptive relevance matrices in learning vector quantization. Neural Computation 21, 3532-3561 (2009)
    • (2009) Neural Computation , vol.21 , pp. 3532-3561
    • Schneider, P.1    Biehl, M.2    Hammer, B.3
  • 14
    • 70449713460 scopus 로고    scopus 로고
    • Distance learning in discriminative vector quantization
    • Schneider, P., Biehl, M., Hammer, B.: Distance learning in discriminative vector quantization. Neural Computation 21, 2942-2969 (2009)
    • (2009) Neural Computation , vol.21 , pp. 2942-2969
    • Schneider, P.1    Biehl, M.2    Hammer, B.3
  • 16
    • 0038159964 scopus 로고    scopus 로고
    • Soft learning vector quantization
    • Seo, S., Obermayer, K.: Soft learning vector quantization. Neural Computation 15(7), 1589-1604 (2003)
    • (2003) Neural Computation , vol.15 , Issue.7 , pp. 1589-1604
    • Seo, S.1    Obermayer, K.2
  • 17
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    • Divergence-based vector quantization
    • Villmann, T., Haase, S.: Divergence-based vector quantization. Neural Computation 23(5), 1343-1392 (2011)
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    • Villmann, T.1    Haase, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.