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Volumn , Issue , 2011, Pages 461-465

Signal diffusion features for automatic target recognition in synthetic aperture sonar

Author keywords

[No Author keywords available]

Indexed keywords

BASIS PURSUITS; BINARY TARGETS; DATA POINTS; DATA SETS; DIFFERENTIAL GEOMETRY; DIFFUSION KERNEL; DIFFUSION MAPS; FACTOR ANALYSIS; FALSE ALARM RATE; HIGH-DIMENSIONAL DATASET; HIGH-DIMENSIONAL FEATURE SPACE; LEARNING TECHNIQUES; LOWER DIMENSIONAL MANIFOLDS; SIGNAL INFORMATION; TARGET RECOGNITION;

EID: 79954512671     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSP-SPE.2011.5739258     Document Type: Conference Paper
Times cited : (9)

References (10)
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  • 2
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    • (2006) Applied and Computational Harmonic Analysis , vol.21 , Issue.1 , pp. 5-30
    • Coifman, R.R.1    Lafon, S.2
  • 5
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    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Springer-Verlag
    • Yoav Freund and Robert E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. In Computational Learning Theory: Eurocolt '95, pages 23-37. Springer-Verlag, 1995.
    • (1995) Computational Learning Theory: Eurocolt '95 , pp. 23-37
    • Freund, Y.1    Schapire, R.E.2
  • 6
    • 0022701187 scopus 로고
    • A synthetic aperture sonar system capable of operating at high speed and in turbulent media
    • Gough, P.T., A synthetic aperture sonar system capable of operating at high speed and in turbulent media. IEEE Jour. Oceanic Eng., 11(2), pp333, 1986.
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    • Gough, P.T.1
  • 8
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • DOI 10.1126/science.290.5500.2323
    • S. Roweis; L. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science, vol. 290, pp. 2323-2326, 2000. (Pubitemid 32041578)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 10
    • 1942482021 scopus 로고    scopus 로고
    • Principal manifolds and nonlinear dimension reduction via local tangent space alignment
    • Pennsylvania State Univ.
    • Z. Zhang; H. Zha, "Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment," Technical Report CSE-02-019, Dept. of Computer Science and Eng., Pennsylvania State Univ., 2002.
    • (2002) Technical Report CSE-02-019, Dept. of Computer Science and Eng.
    • Zhang, Z.1    Zha, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.