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Volumn 1389, Issue , 1998, Pages 231-242

Information fusion for conflict resolution in map interpretation

Author keywords

Conflict resolution; Image detectors; Information fusion; Knowledge representation; Map conversion system; Map interpretation; Semantic networks

Indexed keywords

KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; PATTERN RECOGNITION; SEMANTICS;

EID: 35048845848     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-64381-8_52     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 1
    • 0006113159 scopus 로고
    • An evaluation of priority queues for mathematical morphology
    • In J. Serra and P. Soille, editors, Kluwer Academic Publishers
    • E. Breen and D. Monro. An evaluation of priority queues for mathematical morphology. In J. Serra and P. Soille, editors, Mathematical morphology and its applications to image processing, pages 249-256. Kluwer Academic Publishers, 1994.
    • (1994) Mathematical Morphology and Its Applications to Image Processing , pp. 249-256
    • Breen, E.1    Monro, D.2
  • 2
    • 0003619255 scopus 로고    scopus 로고
    • Bias, variance, and arcing classifiers
    • Statistics Department, University of California, Berkeley, CA. 94720
    • Leo Breiman. Bias, variance, and arcing classifiers. Technical Report 460, Statistics Department, University of California, Berkeley, CA. 94720, April 1996.
    • (1996) Technical Report 460
    • Breiman, L.1
  • 6
    • 0030148979 scopus 로고    scopus 로고
    • The representation of importance and interaction of features by fuzzy measures
    • Michel Grabisch. The representation of importance and interaction of features by fuzzy measures. Pattern Recognition Letters, 17:567-575, 1996.
    • (1996) Pattern Recognition Letters , vol.17 , pp. 567-575
    • Grabisch, M.1
  • 10
    • 84956538661 scopus 로고    scopus 로고
    • Bayes error rate estimation through classifier combining
    • The Computer and Vision Research Center, The University of Texas at Austin
    • Kagan Tumer and Joydeep Ghosh. Bayes error rate estimation through classifier combining. Technical Report TR-96-01-101, The Computer and Vision Research Center, The University of Texas at Austin, http://www.lans.ece.utexas.edu/, 1996.
    • (1996) Technical Report TR-96-01-101
    • Tumer, K.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.