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Volumn 309, Issue , 2010, Pages 229-264

Meta-learning for image processing based on case-based reasoning

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EID: 78049291500     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-14464-6_11     Document Type: Article
Times cited : (4)

References (20)
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  • 4
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    • Perner, P.: Case-Based Reasoning for Image Analysis and Interpretation. In: Chen, C., Wang, P. S. P. (eds.) Handbook on Pattern Recognition and Computer Vision, 3rd edn., pp. 95-114. World Scientific Publisher, Singapore (2005)
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    • Perner, P.1
  • 6
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    • Wunsch, G.1
  • 7
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    • Introduction to case-based reasoning for signals and images
    • Perner, P. ed., SCI, Springer, Berlin
    • Perner, P.: Introduction to Case-Based Reasoning for Signals and Images. In: Perner, P. (ed.) Case-Based Reasoning on Images and Signals. SCI, vol. 73, pp. 319-353. Springer, Berlin (2008)
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    • Roerdink, J.B.T.M.1    Meijster, A.2
  • 9
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    • (1991) IEEE Trans. Patt. Anal. Mach. Intell , vol.13 , Issue.6 , pp. 583-598
    • Vincent, L.1    Soille, P.2
  • 10
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    • Case-based reasoning for image segmentation by watershed transformation
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    • Frucci, M., Perner, P., Di Baja, G. S.: Case-based Reasoning for Image Segmentation by Watershed Transformation. In: Perner, P. (ed.) Case-Based Reasoning on Images and Signals. SCI, vol. 73, pp. 319-353. Springer, Berlin (2008)
    • (2008) Case-Based Reasoning on Images and Signals , vol.73 , pp. 319-353
    • Frucci, M.1    Perner, P.2    Di Baja, G.S.3
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    • (2005) Projektarbeit im Fach Informatik
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.