메뉴 건너뛰기




Volumn 30, Issue 4, 2013, Pages 40-50

Gaussian processes for nonlinear signal processing: An overview of recent advances

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; DIGITAL COMMUNICATION SYSTEMS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS;

EID: 85032750849     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2013.2250352     Document Type: Review
Times cited : (146)

References (39)
  • 2
    • 25444528713 scopus 로고    scopus 로고
    • Assessing approximate inference for binary Gaussian process classification
    • Oct
    • M. Kuss and C. Rasmussen, "Assessing approximate inference for binary Gaussian process classification, " Mach. Learn. Res., vol. 6, pp. 1679-1704, Oct. 2005.
    • (2005) Mach. Learn. Res. , vol.6 , pp. 1679-1704
    • Kuss, M.1    Rasmussen, C.2
  • 3
    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with Gaussian process latent variable models
    • Nov
    • N. Lawrence, "Probabilistic non-linear principal component analysis with Gaussian process latent variable models, " Mach. Learn. Res., vol. 6, pp. 1783-1816, Nov. 2005.
    • (2005) Mach. Learn. Res. , vol.6 , pp. 1783-1816
    • Lawrence, N.1
  • 4
    • 0002978835 scopus 로고
    • Curve fitting and optimal design for prediction
    • A. O'Hagan and J. F. Kingman, "Curve fitting and optimal design for prediction, " J. Roy. Stat. Soc. Series B, vol. 40, no. 1, pp. 1783-1816, 1978.
    • (1978) J. Roy. Stat. Soc. Series B , vol.40 , Issue.1 , pp. 1783-1816
    • O'Hagan, A.1    Kingman, J.F.2
  • 7
    • 85032751903 scopus 로고    scopus 로고
    • Kernel methods and their potential use in signal processing
    • F. Pérez-Cruz and O. Bousquet, "Kernel methods and their potential use in signal processing, " IEEE Signal Processing Mag., vol. 21, no. 3, pp. 57-65, 2004.
    • (2004) IEEE Signal Processing Mag. , vol.21 , Issue.3 , pp. 57-65
    • Pérez-Cruz, F.1    Bousquet, O.2
  • 8
    • 84898947911 scopus 로고    scopus 로고
    • Sparse representation for Gaussian process models
    • Cambridge, MA: MIT Press
    • L. Csató and M. Opper, "Sparse representation for Gaussian process models, " in Neural Information Processing Systems 13. Cambridge, MA: MIT Press, 2001, pp. 444-450.
    • (2001) Neural Information Processing Systems , vol.13 , pp. 444-450
    • Csató, L.1    Opper, M.2
  • 10
    • 3543096272 scopus 로고    scopus 로고
    • The kernel recursive least squares algorithm
    • Aug
    • Y. Engel, S. Mannor, and R. Meir, "The kernel recursive least squares algorithm, " IEEE Trans. Signal Processing, vol. 52, no. 8, pp. 2275-2285, Aug. 2004.
    • (2004) IEEE Trans. Signal Processing , vol.52 , Issue.8 , pp. 2275-2285
    • Engel, Y.1    Mannor, S.2    Meir, R.3
  • 11
    • 72149098116 scopus 로고    scopus 로고
    • An information theoretic approach of designing sparse kernel adaptive filters
    • W. Liu, I. Park, and J. C. Préncipe, "An information theoretic approach of designing sparse kernel adaptive filters, " IEEE Trans. Neural Networks, vol. 20, no. 12, pp. 1950-1961, 2009.
    • (2009) IEEE Trans. Neural Networks , vol.20 , Issue.12 , pp. 1950-1961
    • Liu, W.1    Park, I.2    Préncipe, J.C.3
  • 13
    • 0015000439 scopus 로고
    • Some results on Tchebycheffian spline functions
    • G. S. Kimeldorf and G. Wahba, "Some results on Tchebycheffian spline functions, " J. Math. Anal. Appl., vol. 33, no. 1, pp. 82-95, 1971.
    • (1971) J. Math. Anal. Appl. , vol.33 , Issue.1 , pp. 82-95
    • Kimeldorf, G.S.1    Wahba, G.2
  • 16
    • 29144453489 scopus 로고    scopus 로고
    • A unifying view of sparse approximate Gaussian process regression
    • Dec
    • J. Quiñonero-Candela and C. E. Rasmussen, "A unifying view of sparse approximate Gaussian process regression, " Mach. Learn. Res., vol. 6, pp. 1939-1959, Dec. 2005.
    • (2005) Mach. Learn. Res. , vol.6 , pp. 1939-1959
    • Quiñonero-Candela, J.1    Rasmussen, C.E.2
  • 18
    • 33646380511 scopus 로고    scopus 로고
    • Sparse Gaussian processes using pseudo-inputs
    • Cambridge, MA: MIT Press
    • E. Snelson and Z. Ghahramani, "Sparse Gaussian processes using pseudo-inputs, " in Advances in Neural Information Processing Systems 18. Cambridge, MA: MIT Press, 2006, pp. 1259-1266.
    • (2006) Advances in Neural Information Processing Systems , vol.18 , pp. 1259-1266
    • Snelson, E.1    Ghahramani, Z.2
  • 19
    • 84858732503 scopus 로고    scopus 로고
    • Inter-domain Gaussian processes for sparse inference using inducing features
    • Cambridge, MA: MIT Press
    • M. Lázaro-Gredilla and A. Figueiras-Vidal, "Inter-domain Gaussian processes for sparse inference using inducing features, " in Advances in Neural Information Processing Systems 22. Cambridge, MA: MIT Press, 2010, pp. 1087-1095.
    • (2010) Advances in Neural Information Processing Systems , vol.22 , pp. 1087-1095
    • Lázaro-Gredilla, M.1    Figueiras-Vidal, A.2
  • 21
    • 84876924574 scopus 로고    scopus 로고
    • Spatial Gaussian process regression with mobile sensor networks
    • D. Gu, "Spatial Gaussian process regression with mobile sensor networks, " IEEE Trans. Neural Networks Learn. Syst., vol. 23, pp. 1279-1290, 2012.
    • (2012) IEEE Trans. Neural Networks Learn. Syst. , vol.23 , pp. 1279-1290
    • Gu, D.1
  • 25
    • 46749118074 scopus 로고    scopus 로고
    • Online kernel-based classification using adaptive projection algorithms
    • July
    • K. Slavakis, S. Theodoridis, and I. Yamada, "Online kernel-based classification using adaptive projection algorithms, " IEEE Trans. Signal Processing, vol. 56, no. 7, pp. 2781-2796, July 2008.
    • (2008) IEEE Trans. Signal Processing , vol.56 , Issue.7 , pp. 2781-2796
    • Slavakis, K.1    Theodoridis, S.2    Yamada, I.3
  • 26
    • 85032752365 scopus 로고    scopus 로고
    • Adaptive learning in a world of projections
    • Jan
    • S. Theodoridis, K. Slavakis, and I. Yamada, "Adaptive learning in a world of projections, " IEEE Signal Processing Mag., vol. 28, no. 1, pp. 97-123, Jan. 2011.
    • (2011) IEEE Signal Processing Mag. , vol.28 , Issue.1 , pp. 97-123
    • Theodoridis, S.1    Slavakis, K.2    Yamada, I.3
  • 33
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate Bayesian inference
    • Seattle, WA
    • T. Minka, "Expectation propagation for approximate Bayesian inference, " in Proc. 17th Conf. Uncertainty Artificial Intelligence, Seattle, WA, 2001, pp. 362-369.
    • (2001) Proc. 17th Conf. Uncertainty Artificial Intelligence , pp. 362-369
    • Minka, T.1
  • 34
    • 77955683748 scopus 로고    scopus 로고
    • Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
    • P. Olmos, J. Murillo-Fuentes, and F. Pérez-Cruz, "Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes, " IEEE Trans. Signal Processing, vol. 58, no. 3, pp. 1183-1192, 2010.
    • (2010) IEEE Trans. Signal Processing , vol.58 , Issue.3 , pp. 1183-1192
    • Olmos, P.1    Murillo-Fuentes, J.2    Pérez-Cruz, F.3
  • 35
    • 37549055132 scopus 로고    scopus 로고
    • Gaussian process dynamical models for human motion
    • Feb
    • J. Wang, D. Fleet, and A. Hertzmann, "Gaussian process dynamical models for human motion, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 2, pp. 283-298, Feb. 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.2 , pp. 283-298
    • Wang, J.1    Fleet, D.2    Hertzmann, A.3
  • 36
    • 79959219150 scopus 로고    scopus 로고
    • Gaussian processes for underdetermined source separation
    • July
    • A. Liutkus, R. Badeau, and G. Richard, "Gaussian processes for underdetermined source separation, " IEEE Trans. Signal Processing, vol. 59, no. 7, pp. 3155-3167, July 2011.
    • (2011) IEEE Trans. Signal Processing , vol.59 , Issue.7 , pp. 3155-3167
    • Liutkus, A.1    Badeau, R.2    Richard, G.3
  • 37
    • 77954625423 scopus 로고    scopus 로고
    • Gaussian process regression for estimating chlorophyll concentration in subsurface waters from remote sensing data
    • Mar
    • L. Pasolli, F. Melgani, and E. Blanzieri, "Gaussian process regression for estimating chlorophyll concentration in subsurface waters from remote sensing data, " IEEE Geosci. Remote Sensing Lett., vol. 7, no. 3, pp. 464-468, Mar. 2010.
    • (2010) IEEE Geosci. Remote Sensing Lett. , vol.7 , Issue.3 , pp. 464-468
    • Pasolli, L.1    Melgani, F.2    Blanzieri, E.3
  • 38
    • 44449145192 scopus 로고    scopus 로고
    • Gaussian process approximations of stochastic differential equations
    • Mar
    • C. Archambeau, D. Cornford, M. Opper, and J. Shawe-Taylor, "Gaussian process approximations of stochastic differential equations, " J. Mach. Learn. Res., vol. 1, pp. 1-16, Mar. 2007.
    • (2007) J. Mach. Learn. Res. , vol.1 , pp. 1-16
    • Archambeau, C.1    Cornford, D.2    Opper, M.3    Shawe-Taylor, J.4
  • 39
    • 69749101080 scopus 로고    scopus 로고
    • Gaussian process regressors for multiuser detection in DS-CDMA systems
    • Aug
    • J. J. Murillo-Fuentes and F. Pérez-Cruz, "Gaussian process regressors for multiuser detection in DS-CDMA systems, " IEEE Trans. Commun., vol. 57, no. 8, pp. 2339-2347, Aug. 2009.
    • (2009) IEEE Trans. Commun. , vol.57 , Issue.8 , pp. 2339-2347
    • Murillo-Fuentes, J.J.1    Pérez-Cruz, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.