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Volumn 3, Issue , 2007, Pages

Sparse manifold learning with applications to SAR image classification

Author keywords

Classification; Dimensionality reduction; Out of sample extension; Reduced complexity isomap; SAR

Indexed keywords

DIMENSIONALITY REDUCTION; EXEMPLARS; REDUCED COMPLEXITY ISOMAP;

EID: 34547514160     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366873     Document Type: Conference Paper
Times cited : (14)

References (12)
  • 2
    • 0029745889 scopus 로고    scopus 로고
    • MSTAR Extended Operating Conditions
    • E.R. Keydel, "MSTAR Extended Operating Conditions," SPIE Proceedings, vol. 2757, pp. 228-242, 1996.
    • (1996) SPIE Proceedings , vol.2757 , pp. 228-242
    • Keydel, E.R.1
  • 3
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schlkopf. A. Smola, and K. Mller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Computation, vol. 10, pp. 1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schlkopf, B.1    Smola, A.2    Mller, K.3
  • 5
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J.B. Tenenbaum, V. de Silva, and J. 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.3
  • 6
    • 4344635655 scopus 로고    scopus 로고
    • Out of sample extensions for LLE. ISOMAP. MDS, Eigenmaps, and Spectral Clustering
    • Y. Bengio et al., "Out of sample extensions for LLE. ISOMAP. MDS, Eigenmaps, and Spectral Clustering," Neural Information Processing Systems Conference, 2003.
    • (2003) Neural Information Processing Systems Conference
    • Bengio, Y.1
  • 7
    • 1542313354 scopus 로고    scopus 로고
    • The stability of kernel principal components analysis and its relation to the process eigenspectrum
    • S. Becker, S. Thrun, and K. Obermayer, editors, MIT Press
    • J. Shawe-Taylor and C. Williams, "The stability of kernel principal components analysis and its relation to the process eigenspectrum," in S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15. MIT Press., 2003.
    • (2003) Advances in Neural Information Processing Systems , pp. 15
    • Shawe-Taylor, J.1    Williams, C.2
  • 9
    • 33745593949 scopus 로고    scopus 로고
    • Sparse multidimensional scaling using landmark points
    • preprint
    • V. de Silva and J.B. Tenenbaum, "Sparse multidimensional scaling using landmark points," preprint, 2004.
    • (2004)
    • de Silva, V.1    Tenenbaum, J.B.2
  • 10
    • 33750735882 scopus 로고    scopus 로고
    • FastMap, MetricMap, and Landmark MDS are all Nyström Algorithms
    • No. 2004-26, September 2004
    • J.C. Piatt. "FastMap, MetricMap, and Landmark MDS are all Nyström Algorithms." Microsoft Research Technical Reports. No. 2004-26, September 2004.
    • Microsoft Research Technical Reports
    • Piatt, J.C.1
  • 11


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.