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Volumn 1, Issue , 2003, Pages 316-320

Entropic graphs for manifold learning

Author keywords

[No Author keywords available]

Indexed keywords

ENTROPIC GRAPHS; GEODESIC MINIMAL SPANNING TREES (GMST); LINEAR LOCAL IMBEDDING (LLE); MANIFOLD LEARNING;

EID: 4143048964     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (16)
  • 1
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear imbedding
    • S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear imbedding," Science, vol. 290, no. 1, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.1 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 2
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 4
    • 4143089050 scopus 로고    scopus 로고
    • Hessian eigenmaps: New locally linear embedding techniques for high dimensional data
    • Dept. of Statistics, Stanford University
    • D. Donoho and C. Grimes, "Hessian eigenmaps: new locally linear embedding techniques for high dimensional data," Tech. Rep. TR2003-08, Dept. of Statistics, Stanford University, 2003.
    • (2003) Tech. Rep. , vol.TR2003-08
    • Donoho, D.1    Grimes, C.2
  • 9
    • 0036807213 scopus 로고    scopus 로고
    • Estimating the intrinsic dimension of data with a fractal-based method
    • October
    • F. Camastra and A. Vinciarelli, "Estimating the intrinsic dimension of data with a fractal-based method," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 24, no. 10, pp. 1404-1407, October 2002.
    • (2002) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.24 , Issue.10 , pp. 1404-1407
    • Camastra, F.1    Vinciarelli, A.2
  • 10
    • 85156237082 scopus 로고    scopus 로고
    • Intrinsic dimension estimation using packing numbers
    • Vancouver, CA, Dec.
    • B. K'egl, "Intrinsic dimension estimation using packing numbers," in Neural Information Processing Systems: NIPS, Vancouver, CA, Dec. 2002.
    • (2002) Neural Information Processing Systems: NIPS
    • K'egl, B.1
  • 12
    • 4143094607 scopus 로고    scopus 로고
    • Geodesic minimal spanning trees for dimension and entropy estimation in manifold learning
    • under revision
    • J. A. Costa and A. O. Hero, "Geodesic minimal spanning trees for dimension and entropy estimation in manifold learning," IEEE Trans. on Signal Processing, 2003, under revision.
    • (2003) IEEE Trans. on Signal Processing
    • Costa, J.A.1    Hero, A.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.