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Volumn , Issue , 2011, Pages

Robust multi-sensor classification via joint sparse representation

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DISCRIMINATIVE CLASSIFIERS; EFFICIENT ALGORITHM; FEATURE DOMAIN; GENERALIZED MODELS; JOINT SPARSITY; LINEAR COMBINATIONS; MULTI SENSOR; MULTI-SENSOR DATA; NOISE TERMS; SPARSE REPRESENTATION; TRAINING DATA;

EID: 80052529509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (44)

References (31)
  • 1
    • 0030735959 scopus 로고    scopus 로고
    • An introduction to multisensor data fusion
    • D. L. Hall and J. Llinas, "An introduction to multisensor data fusion," Proceedings of the IEEE, vol. 85, no. 1, pp. 6-23, 1997. (Pubitemid 127745544)
    • (1997) Proceedings of the IEEE , vol.85 , Issue.1 , pp. 6-23
    • Hall, D.L.1    Llinas, J.2
  • 4
    • 6444229449 scopus 로고    scopus 로고
    • Vehicle classification in distributed sensor networks
    • DOI 10.1016/j.jpdc.2004.03.020
    • M. Duarte and Y.-H. Hu, "Vehicle classification in distributed sensor networks," Journal of Parallel and Distributed Computing, vol. 64, no. 7, pp. 826-838, 2004. (Pubitemid 40000773)
    • (2004) Journal of Parallel and Distributed Computing , vol.64 , Issue.7 , pp. 826-838
    • Duarte, M.F.1    Hu, Y.H.2
  • 5
    • 47349087816 scopus 로고    scopus 로고
    • Vehicle classification on multi-sensor smart cameras using feature- and decision-fusion
    • A. Klausner, A. Tengg, and B. Rinner, "Vehicle classification on multi-sensor smart cameras using feature- and decision-fusion," IEEE conference on Distributed Smart Cameras, pp. 67-74, 2007.
    • (2007) IEEE Conference on Distributed Smart Cameras , pp. 67-74
    • Klausner, A.1    Tengg, A.2    Rinner, B.3
  • 6
    • 33947416035 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E. J. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," IEEE Transaction on Information Theory, vol. 52, pp. 5406-5425, 2006.
    • (2006) IEEE Transaction on Information Theory , vol.52 , pp. 5406-5425
    • Candès, E.J.1    Romberg, J.2    Tao, T.3
  • 8
    • 77953322499 scopus 로고    scopus 로고
    • Joint covariate selection and joint subspace selection for multiple classification problems
    • G. Obozinski, B. Taskar, and M. I. Jordan, "Joint covariate selection and joint subspace selection for multiple classification problems," Journal of Statistics and Computing, vol. 20, no. 2, pp. 231-252, 2010.
    • (2010) Journal of Statistics and Computing , vol.20 , Issue.2 , pp. 231-252
    • Obozinski, G.1    Taskar, B.2    Jordan, M.I.3
  • 10
    • 77952717202 scopus 로고    scopus 로고
    • Sparse representation for computer vision and pattern recognition
    • J. Wright, Y. Ma, J. Mairal, G. Sapiro, T. Huang, and S. Yan, "Sparse representation for computer vision and pattern recognition," the Proceedings of the IEEE, vol. 98, no. 6, pp. 1031 - 1044, 2010.
    • (2010) The Proceedings of the IEEE , vol.98 , Issue.6 , pp. 1031-1044
    • Wright, J.1    Ma, Y.2    Mairal, J.3    Sapiro, G.4    Huang, T.5    Yan, S.6
  • 16
    • 0242641203 scopus 로고    scopus 로고
    • Spectrum analysis techniques for personnel detection using seismic sensors
    • K. M. Houston and D. P. McGaffigan, "Spectrum analysis techniques for personnel detection using seismic sensors," Proceedings of the SPIE, vol. 5090, pp. 162-173, 2003.
    • (2003) Proceedings of the SPIE , vol.5090 , pp. 162-173
    • Houston, K.M.1    McGaffigan, D.P.2
  • 17
    • 44349185567 scopus 로고    scopus 로고
    • Range limitation for seismic footstep detection
    • J. M. Sabatier and A. E. Ekimov, "Range limitation for seismic footstep detection," Proceedings of SPIE, vol. 6963, 2008.
    • (2008) Proceedings of SPIE , vol.6963
    • Sabatier, J.M.1    Ekimov, A.E.2
  • 19
    • 5444237123 scopus 로고    scopus 로고
    • Greed is good: Algorithmic results for sparse approximation
    • J. A. Tropp, "Greed is good: Algorithmic results for sparse approximation," IEEE Transactions on Information Theory, vol. 50, no. 10, pp. 2231-2242, 2004.
    • (2004) IEEE Transactions on Information Theory , vol.50 , Issue.10 , pp. 2231-2242
    • Tropp, J.A.1
  • 20
    • 65749110333 scopus 로고    scopus 로고
    • Subspace pursuit for compressive sensing signal reconstruction
    • W. Dai and O. Milenkovic, "Subspace pursuit for compressive sensing signal reconstruction," IEEE Transactions on Information Theory, vol. 55, no. 5, pp. 2230-2249, 2009.
    • (2009) IEEE Transactions on Information Theory , vol.55 , Issue.5 , pp. 2230-2249
    • Dai, W.1    Milenkovic, O.2
  • 23
    • 30844461481 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation. Part II: Convex relaxation
    • DOI 10.1016/j.sigpro.2005.05.031, PII S0165168405002239, Sparse Approximations in Signal and Image Processing
    • J. A. Tropp, "Algorithms for simultaneous sparse approximation. part ii: Convex relaxation," Signal Processing, vol. 86, no. 3, pp. 589-602, 2006. (Pubitemid 43106573)
    • (2006) Signal Processing , vol.86 , Issue.3 , pp. 589-602
    • Tropp, J.A.1
  • 27
    • 55349099909 scopus 로고    scopus 로고
    • Recovery of edges from spectral data with noise - A new perspective
    • S. Engelberg and E. Tadmor, "Recovery of edges from spectral data with noise - a new perspective," SIAM Journal on Numerical Analysis, vol. 46, no. 5, pp. 2620 - 2635, 2008.
    • (2008) SIAM Journal on Numerical Analysis , vol.46 , Issue.5 , pp. 2620-2635
    • Engelberg, S.1    Tadmor, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.