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Volumn 19, Issue 9, 2007, Pages 2536-2556

Parametric embedding for class visualization

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; EMBEDDINGS; STATISTICS; WEBSITES;

EID: 34548617417     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.9.2536     Document Type: Article
Times cited : (48)

References (20)
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    • The use of multiple measurements in taxonomic problem
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  • 8
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    • Euclidean embedding of co-occurrence data
    • L. K. Saul, Y Weiss, & L. Bottou Eds, Cambridge, MA: MIT Press
    • Globerson, A., Chechik, G., Pereira, F., & Tishby, N. (2005). Euclidean embedding of co-occurrence data. In L. K. Saul, Y Weiss, & L. Bottou (Eds.), Advances in neural information processing systems, 17 (pp. 497-504). Cambridge, MA: MIT Press.
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  • 9
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    • (1996) Matrix computation
    • Golub, G.1    Van Loan, C.2
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    • Stochastic neighbor embedding
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    • Hinton, G., & Roweis, S. (2002). Stochastic neighbor embedding. In S. Becker, S. Thrun, & K. Obermayer (Eds.), Advances in neural information processing systems, 15 (pp. 833-840). Cambridge, MA: MIT Press.
    • (2002) Advances in neural information processing systems , vol.15 , pp. 833-840
    • Hinton, G.1    Roweis, S.2
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    • Nonlinear dimensionality reduction by local linear embedding
    • Roweis, S., & Saul, L. (2000). Nonlinear dimensionality reduction by local linear embedding. Science, 290, 2323-2326.
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    • A global geometric framework for nonlinear dimensionality reduction
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.