메뉴 건너뛰기




Volumn , Issue , 2010, Pages 1068-1071

Learning a joint manifold representation from multiple data sets

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; LOCAL STRUCTURE; MULTIPLE DATA; STATE OF THE ART;

EID: 78149485644     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.267     Document Type: Conference Paper
Times cited : (23)

References (10)
  • 1
    • 84898986732 scopus 로고    scopus 로고
    • Mapping a manifold of perceptual observations
    • J. Tenenbaum, "Mapping a manifold of perceptual observations." in Advances in Neural Information Processing, vol. 10, 1998, pp. 682-688.
    • (1998) Advances in Neural Information Processing , vol.10 , pp. 682-688
    • Tenenbaum, J.1
  • 2
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linar embedding
    • S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linar embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 3
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Comput., vol. 15, no. 6, pp. 1373-1396, 2003.
    • (2003) Neural Comput. , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 5
    • 27844549624 scopus 로고    scopus 로고
    • Gaussian process latent variable models for visualization of high dimensional data
    • [Online]. Available
    • N. Lawrence, "Gaussian process latent variable models for visualization of high dimensional data," in NIPS, 2003. [Online]. Available: citeseer.ist.psu.edu/lawrence03gaussian.html
    • (2003) NIPS
    • Lawrence, N.1
  • 7
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.1    De Silva, V.2    Langford, J.C.3
  • 8
    • 0026288231 scopus 로고
    • An algorithm for associating the features of two images
    • G. L. Scott and H. C. Longuet-Higgins, "An algorithm for associating the features of two images," Biological Sciences, vol. 244, no. 1309, 1991.
    • (1991) Biological Sciences , vol.244 , Issue.1309
    • Scott, G.L.1    Longuet-Higgins, H.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.