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Volumn 55, Issue 3 I, 2007, Pages 642-650

Kernel antenna array processing

Author keywords

Antenna arrays; Beamforming; Kernel method; Mercer's kernels; Support vector machines

Indexed keywords

BEAMFORMING; OPTIMIZATION; SIGNAL TO NOISE RATIO; SUPPORT VECTOR MACHINES;

EID: 34047217994     PISSN: 0018926X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAP.2007.891550     Document Type: Article
Times cited : (34)

References (20)
  • 3
    • 20444432773 scopus 로고    scopus 로고
    • "Kernel-based methods for hyperspectral image classification"
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2
  • 5
    • 0014642808 scopus 로고
    • "High resolution frequency-wavenumber spectrum analysis"
    • Aug
    • J. Capon, "High resolution frequency-wavenumber spectrum analysis," Proc. IEEE, vol. 57, no. 8, pp. 1408-1418, Aug. 1969.
    • (1969) Proc. IEEE , vol.57 , Issue.8 , pp. 1408-1418
    • Capon, J.1
  • 6
    • 84900674830 scopus 로고    scopus 로고
    • G. Camps-Valls, J. L. Rojo-Álvarez, and M. Martínez-Ramón, Eds., Hershey, PA: Idea Group, Nov
    • G. Camps-Valls, J. L. Rojo-Álvarez, and M. Martínez-Ramón, Eds., Kernel Methods in Bioengineering, Signal and Image Processing. Hershey, PA: Idea Group, Nov. 2006.
    • (2006) Kernel Methods in Bioengineering, Signal and Image Processing
  • 7
    • 4043137356 scopus 로고    scopus 로고
    • "A tutorial on support vector regression"
    • Aug
    • A. J. Smola and B. Schölkopf, "A tutorial on support vector regression," Statist. Comput., vol. 4, no. 3, pp. 199-222, Aug. 2004.
    • (2004) Statist. Comput. , vol.4 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 11
    • 0000171374 scopus 로고
    • "Robust statistics: A review"
    • P. J. Huber, "Robust statistics: A review," Ann. Statist., p. 43, 1972.
    • (1972) Ann. Statist. , pp. 43
    • Huber, P.J.1
  • 13
    • 0000874557 scopus 로고
    • "Theoretical foundations of the potential function method in pattern recognition learning"
    • M. A. Aizerman, E. M. Braverman, and L. I. Rozoner, "Theoretical foundations of the potential function method in pattern recognition learning," Automat. Remote Contr., vol. 25, pp. 821-837, 1964.
    • (1964) Automat. Remote Contr. , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozoner, L.I.3
  • 15
    • 27144489164 scopus 로고    scopus 로고
    • "A tutorial on support vector machines for pattern recognition"
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining Knowl. Discov., vol. 2, no. 2, pp. 1-32, 1998.
    • (1998) Data Mining Knowl. Discov. , vol.2 , Issue.2 , pp. 1-32
    • Burges, C.J.C.1
  • 17
    • 0003836788 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Max Planck Institut für biologische Kybernetik, Tübingen, Germany, Tech. Rep. 44, Dec
    • B. Schölkopf, A. Smola, and K.-R. Müller, Nonlinear component analysis as a kernel eigenvalue problem Max Planck Institut für biologische Kybernetik, Tübingen, Germany, Tech. Rep. 44, Dec. 1996.
    • (1996)
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 18
    • 0003120218 scopus 로고    scopus 로고
    • "Fast training of support vector machines using sequential minimal optimization"
    • in B. Schölkopf, C. J. C. Burgues, and A. J. Smola, Eds. Cambridge, MA: MIT Press
    • J. Platt, "Fast training of support vector machines using sequential minimal optimization," in Advances in Kernel Methods: Support Vector Learning, B. Schölkopf, C. J. C. Burgues, and A. J. Smola, Eds. Cambridge, MA: MIT Press, 1999, pp. 185-208.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 19
    • 0037844881 scopus 로고    scopus 로고
    • "Linear dependency between ε and the input noise in ε-support vector regression"
    • May
    • J. T. Kwok and I. W. Tsang, "Linear dependency between ε and the input noise in ε-support vector regression," IEEE Trans. Neural Netw., vol. 14, no. 3, pp. 544-553, May 2003.
    • (2003) IEEE Trans. Neural Netw. , vol.14 , Issue.3 , pp. 544-553
    • Kwok, J.T.1    Tsang, I.W.2
  • 20
    • 0346250790 scopus 로고    scopus 로고
    • "Practical selection of SVM parameters and noise estimation for SVM regression"
    • Jan
    • V. Cherkassky and Y. Ma, "Practical selection of SVM parameters and noise estimation for SVM regression," Neural Netw., vol. 17, no. 1, pp. 113-126, Jan. 2004.
    • (2004) Neural Netw. , vol.17 , Issue.1 , pp. 113-126
    • Cherkassky, V.1    Ma, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.