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Volumn 6077 LNAI, Issue PART 2, 2010, Pages 391-398

2-D shape representation and recognition by lattice computing techniques

Author keywords

2 D shape classification; Fuzzy lattice reasoning (FLR); Inclusion measure; Intervals' number (IN); Lattice computing

Indexed keywords

CARTESIAN PRODUCTS; COMPUTING TECHNIQUES; D-SHAPE; DESCRIPTORS; FUZZY LATTICE; IMAGE REPRESENTATIONS; INCLUSION MEASURE;

EID: 77954583043     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13803-4_49     Document Type: Conference Paper
Times cited : (3)

References (7)
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    • State of the art in lattice computing for artificial intelligence applications
    • Nadarajan, R., Anitha, R., Porkodi, C. (eds.)
    • Graña, M.: State of the art in lattice computing for artificial intelligence applications. In: Nadarajan, R., Anitha, R., Porkodi, C. (eds.) Mathematical and Computational Models, pp. 233-242 (2007)
    • (2007) Mathematical and Computational Models , pp. 233-242
    • Graña, M.1
  • 3
    • 77954574346 scopus 로고    scopus 로고
    • Lattice computing: Lattice-theory-based computational intelligence
    • Matsuhisa, T., Koibuchi, H. (eds.)
    • Graña, M.: Lattice computing: lattice-theory-based computational intelligence. In: Matsuhisa, T., Koibuchi, H. (eds.) Proc. Kosen Workshop on Mathematics, Technology, and Education (MTE), pp. 19-27 (2008)
    • (2008) Proc. Kosen Workshop on Mathematics, Technology, and Education (MTE) , pp. 19-27
    • Graña, M.1
  • 4
    • 33947362460 scopus 로고    scopus 로고
    • Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory
    • Springer, Heidelberg
    • Kaburlasos, V.G.: Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory. SCI, vol. 27. Springer, Heidelberg (2006)
    • (2006) SCI , vol.27
    • Kaburlasos, V.G.1
  • 5
    • 77954566657 scopus 로고    scopus 로고
    • Granular fuzzy inference system (FIS) design by lattice computing
    • Corchado Rodriguez, E.S., et al. (eds.) HAIS 2010, Part II Springer, Heidelberg
    • Kaburlasos, V.G.: Granular fuzzy inference system (FIS) design by lattice computing. In: Corchado Rodriguez, E.S., et al. (eds.) HAIS 2010, Part II. LNCS (LNAI), vol. 6077, pp. 410-417. Springer, Heidelberg (2010)
    • (2010) LNCS (LNAI) , vol.6077 , pp. 410-417
    • Kaburlasos, V.G.1
  • 6
    • 67349270912 scopus 로고    scopus 로고
    • A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
    • Kaburlasos, V.G., Papadakis, S.E.: A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR). Neurocomputing 72(10-12), 2067-2078 (2009)
    • (2009) Neurocomputing , vol.72 , Issue.10-12 , pp. 2067-2078
    • Kaburlasos, V.G.1    Papadakis, S.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.