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Volumn 1488, Issue , 1998, Pages 251-261

Different learning strategies in a case-based reasoning system for image interpretation

Author keywords

CBR learning; Image interpretation; Incremental learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE ANALYSIS; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; NONDESTRUCTIVE EXAMINATION;

EID: 42449158840     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0056338     Document Type: Conference Paper
Times cited : (32)

References (14)
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  • 2
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  • 5
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    • Structural and Syntactic Methods in Line Drawing Analysis: To Which Extent Do They Work?
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    • K. Tombre, "Structural and Syntactic Methods in Line Drawing Analysis: To Which Extent Do They Work?," In: P. Pemer, P. Wang, and A. Rosenfeld, Advances in Structral and Syntactic Pattern Recognition, Springer Verlag 1996, Lncs 1121
    • (1996) Advances in Structral and Syntactic Pattern Recognition , vol.1121
    • Tombre, K.1
  • 6
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    • Knowledge Acquisition via Incremental Clustering
    • D.H. Fisher, "Knowledge Acquisition via Incremental Clustering," Machine Learning, 2: 139-172, 1987.
    • (1987) Machine Learning , vol.2 , pp. 139-172
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  • 9
    • 84948160787 scopus 로고    scopus 로고
    • Ultra Sonic Image Interpretation for Non-Destructive Testing
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    • P. Perner," Ultra Sonic Image Interpretation for Non-Destructive Testing," IAPR Workshop on Machine Vision Applications, Tokyo, Japan, Nov. 1996, p. 552-554.
    • (1996) IAPR Workshop on Machine Vision Applications , pp. 552-554
    • Perner, P.1
  • 10
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  • 11
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    • Case-Based Reasoning for Image Interpretation
    • V. Hlava_ and R. Šàrka, Springer Verlag
    • P. Perner, Case-Based Reasoning for Image Interpretation, In: Computer Analysis of Images and Patterns, V. Hlava_ and R. Šàrka, Springer Verlag 1995, pp. 532-537
    • (1995) Computer Analysis of Images and Patterns , pp. 532-537
    • Perner, P.1
  • 13
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    • A theory and methodology of inductive learning
    • R. S. Michalski, J.G. Carbonell, and T.M. Mitchell, (Eds.), Morgan Kaufrnann
    • R.S. Michalski. A theory and methodology of inductive learning. In R. S. Michalski, J.G. Carbonell, and T.M. Mitchell, (Eds.), Machine Learning: Artificial Intelligence Approach. Morgan Kaufrnann, 1983.
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  • 14
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    • Merge Strategies for Multiple Case Plan Replay
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    • Veloso, M.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.