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Volumn , Issue , 2004, Pages 96-103

Locality preserving indexing for document representation

Author keywords

Dimensionality Reduction; Document Representation and Indexing; Latent Semantic Indexing; Locality Preserving Indexing; Similarity Measure; Vector Space Model

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBLEM SOLVING; SEMANTICS; VECTORS;

EID: 8644230223     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1008992.1009012     Document Type: Conference Paper
Times cited : (107)

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    • Foltz, P.W.1    Dumais, S.T.2
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    • A Semidiscrete matrix decomposition for latent semantic indexing in information retrieval
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    • Nonlinear dimensionality reduction by locally linear embedding
    • 22 December
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    • A global geometric framework for nonlinear dimensionality reduction
    • 22 December
    • J. B. Tenenbaum, Vin De Suva, and J. C. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction", Science, Vol 290, 22 December 2000.
    • (2000) Science , vol.290
    • Tenenbaum, J.B.1    De Suva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.