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Volumn 6376 LNCS, Issue , 2010, Pages 563-572

Learning of optimal illumination for material classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION RESULTS; DEFECT DETECTION; HIGH-DIMENSIONAL FEATURE SPACE; ILLUMINATION PATTERNS; ILLUMINATION SERIES; LIGHTING ENVIRONMENT; MATERIAL CLASSIFICATION; OPTIMAL LIGHTING; RANDOM FOREST CLASSIFIER;

EID: 78349299490     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15986-2_57     Document Type: Conference Paper
Times cited : (28)

References (17)
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  • 3
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    • Classification of ASAS multiangle and multispectral measurements using artificial neural networks
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    • Abuelgasim, A.A.1    Gopal, S.2    Irons, J.R.3    Strahler, A.H.4
  • 5
    • 33845583965 scopus 로고    scopus 로고
    • Clustering appearance for scene analysis
    • Koppal, S.J., Narasimhan, S.G.: Clustering appearance for scene analysis. In: Proc. CVPR, pp. 1323-1330 (2006)
    • (2006) Proc. CVPR , pp. 1323-1330
    • Koppal, S.J.1    Narasimhan, S.G.2
  • 13
    • 0033326857 scopus 로고    scopus 로고
    • Dynamic range improvement through multiple exposures
    • Robertson, M.A., Borman, S., Stevenson, R.L.: Dynamic range improvement through multiple exposures. In: Proc. ICIP, pp. 159-163 (1999)
    • (1999) Proc. ICIP , pp. 159-163
    • Robertson, M.A.1    Borman, S.2    Stevenson, R.L.3
  • 14
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    • Random forests
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    • Breiman, L.1
  • 15
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    • Image classification using random forests and ferns
    • Bosch, A., Zisserman, A., Munoz, X.: Image classification using random forests and ferns. In: Proc. ICCV, pp. 1-8 (2007)
    • (2007) Proc. ICCV , pp. 1-8
    • Bosch, A.1    Zisserman, A.2    Munoz, X.3
  • 16
    • 68949140728 scopus 로고    scopus 로고
    • A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data
    • Menze, B.H., Kelm, B.M., Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., Hamprecht, F.A.: A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. BMC Bioinformatics 10, 213 (2009)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.