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Volumn 6871 LNAI, Issue , 2011, Pages 253-264

Dictionary learning based on laplacian score in sparse coding

Author keywords

Clustering; Dictionary learning; Laplacian Score; Sparse coding; Unsupervised learning

Indexed keywords

A-LAPLACIAN; CLASSIFICATION PERFORMANCE; CLUSTERING; DATA SETS; DICTIONARY LEARNING; LAPLACIANS; LEARNING METHODS; LINEAR COMBINATIONS; LOCAL GEOMETRY; MULTI-CLASS; SPARSE CODING; UCI REPOSITORY; VECTOR REPRESENTATIONS;

EID: 80052311298     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23199-5_19     Document Type: Conference Paper
Times cited : (17)

References (20)
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  • 2
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    • Elad, M.1    Aharon, M.2
  • 4
    • 33750383209 scopus 로고    scopus 로고
    • The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representations
    • Aharon, M., Elad, M., Bruckstein, A.M.: The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representations. IEEE Transactions on Signal Processing 54(11), 4311-4322 (2006)
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.M.3
  • 9
    • 44649111202 scopus 로고    scopus 로고
    • Locality sensitive semi-supervised feature selection
    • Zhao, J., Lu, K., He, X.: Locality sensitive semi-supervised feature selection. Neurocomputing 71, 1842-1849 (2008)
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  • 13
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    • Sparse Coding Neural Gas: Learning of Overcomplete Data Representations
    • Labusch, K., Barth, E., Martinetz, T.: Sparse Coding Neural Gas: Learning of Overcomplete Data Representations. Neurocomputing 72, 1547-1555 (2009)
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    • Labusch, K.1    Barth, E.2    Martinetz, T.3
  • 17
  • 19
    • 2142775432 scopus 로고    scopus 로고
    • Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data
    • Lee, Y., Lin, Y., Wahba, G.: Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association 99, 67-81 (2004)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.