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Volumn 7, Issue Special Issue 6, 2016, Pages

Prognostics of combustion instabilities from Hi-speed flame video using a deep convolutional selective autoencoder

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EID: 84988971138     PISSN: None     EISSN: 21532648     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (30)

References (44)
  • 1
    • 33750383209 scopus 로고    scopus 로고
    • An algorithm for designing overcomplete dictionaries for sparse representation
    • Aharon, M., Elad, M., & Bruckstein, A. (2006). An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 54(11), 4311-4322.
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 7
    • 12044259644 scopus 로고
    • The proper orthogonal decomposition in the analysis of turbulent flows
    • Berkooz, G., Holmes, P., & Lumley, J. L. (1993). The proper orthogonal decomposition in the analysis of turbulent flows. Annual Review of Fluid Mechanics, 25(1), 539-575. doi: 10.1146/annurev.fl.25.010193.002543
    • (1993) Annual Review of Fluid Mechanics , vol.25 , Issue.1 , pp. 539-575
    • Berkooz, G.1    Holmes, P.2    Lumley, J.L.3
  • 10
    • 84883162364 scopus 로고    scopus 로고
    • Learning graphical model parameters with approximate marginal inference
    • Domke, J. (2013). Learning graphical model parameters with approximate marginal inference. IEEE Transaction on Pattern Analysis and Machine Intelligence, 35(10), 2454-2467.
    • (2013) IEEE Transaction on Pattern Analysis and Machine Intelligence , vol.35 , Issue.10 , pp. 2454-2467
    • Domke, J.1
  • 11
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • Duchi, J., Hazan, E., & Singer, Y. (2011, July). Adaptive subgradient methods for online learning and stochastic optimization. JMLR, 12, 2121-2159.
    • (2011) JMLR , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 14
    • 10044273311 scopus 로고    scopus 로고
    • Using multiple graphics cards as a general purpose parallel computer: Applications to compute vision. International Conference on Pattern Recognition
    • Fung, J., & Mann, S. (2004, August). Using multiple graphics cards as a general purpose parallel computer: Applications to compute vision. International Conference on Pattern Recognition, ICPR, 1, 805-808.
    • (2004) ICPR , vol.1 , pp. 805-808
    • Fung, J.1    Mann, S.2
  • 16
    • 77957959635 scopus 로고    scopus 로고
    • Framewise phoneme classification with bidirectional lstm and other neural network architectures
    • Graves, A., & Schmidhuber, J. (2005). Framewise phoneme classification with bidirectional lstm and other neural network architectures. IJCNN, 1-8.
    • (2005) IJCNN , pp. 1-8
    • Graves, A.1    Schmidhuber, J.2
  • 18
    • 0020968497 scopus 로고
    • Coherent structures-reality and myth
    • Hussain, A. K. M. F. (1983). Coherent structures-reality and myth. Physics of Fluids, 26(10), 2816-2850.
    • (1983) Physics of Fluids , vol.26 , Issue.10 , pp. 2816-2850
    • Hussain, A.K.M.F.1
  • 21
    • 84988965119 scopus 로고    scopus 로고
    • Strudtured labeling to facilitate concept evolution in machine learning
    • Kulesza, T., Amershi, S., Caruana, R., Fisher, D., & Charles, D. (2014, April). Strudtured labeling to facilitate concept evolution in machine learning. ACM, 1-10.
    • (2014) ACM , pp. 1-10
    • Kulesza, T.1    Amershi, S.2    Caruana, R.3    Fisher, D.4    Charles, D.5
  • 25
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998, November). Gradient-based learning applied to document recognition. Proc of IEEE, 1-46.
    • (1998) Proc of IEEE , pp. 1-46
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 26
    • 33847756386 scopus 로고    scopus 로고
    • Sensing and control of combustion instabilities in swirl-stabilized combustors using diode-laser absorption
    • Li, H., Zhou, X., Jeffries, J. B., & Hanson, R. K. (2007, February). Sensing and control of combustion instabilities in swirl-stabilized combustors using diode-laser absorption. AIAA, 45(2), 1-9.
    • (2007) AIAA , vol.45 , Issue.2 , pp. 1-9
    • Li, H.1    Zhou, X.2    Jeffries, J.B.3    Hanson, R.K.4
  • 28
    • 84945230598 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • Long, J., Shelhamer, E., & Darrell, T. (2015). Fully convolutional networks for semantic segmentation. CVPR, 3431-3440.
    • (2015) CVPR , pp. 3431-3440
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 32
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech proccessing
    • Rabiner, L. (1989). A tutorial on hidden markov models and selected applications in speech proccessing. Proceedings of the IEEE, 77(2), 257-286.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.1
  • 36
    • 77957153107 scopus 로고    scopus 로고
    • Dynamic mode decomposition of numerical and experimental data
    • Schmid, P. J. (2010). Dynamic mode decomposition of numerical and experimental data. Journal of Fluid Mechanics, 656, 5-28. doi: 10.1017/S0022112010001217
    • (2010) Journal of Fluid Mechanics , vol.656 , pp. 5-28
    • Schmid, P.J.1
  • 37
    • 84988916162 scopus 로고    scopus 로고
    • Very deep multilingual convolutional neural networks for lvcsr
    • Sercu, T., Puhrsch, C., Kingsbury, B., & LeCun, Y. (2016, September). Very deep multilingual convolutional neural networks for lvcsr. ICAPPS, 1–5.
    • (2016) ICAPPS , pp. 1-5
    • Sercu, T.1    Puhrsch, C.2    Kingsbury, B.3    Lecun, Y.4
  • 40
    • 84937522268 scopus 로고    scopus 로고
    • Going deeper with convolutions
    • Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D.,… Rabinovich, A. (2015). Going deeper with convolutions. CVPR, 9.
    • (2015) CVPR , pp. 9
    • Szegedy, C.1    Liu, W.2    Jia, Y.3    Sermanet, P.4    Reed, S.5
  • 41
    • 79952512265 scopus 로고    scopus 로고
    • How to grow a mind: Statistics, structure, and abstraction
    • Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331, 1279-1285.
    • (2011) Science , vol.331 , pp. 1279-1285
    • Tenenbaum, J.B.1    Kemp, C.2    Griffiths, T.L.3    Goodman, N.D.4
  • 42
    • 84988964340 scopus 로고    scopus 로고
    • Retrieved 03, from
    • Thoma, M. (2016, February). Lasagne for python newbies. Retrieved 03, from https: //martin thoma.com/lasagne for python newbies/
    • (2016) Lasagne for Python Newbies
    • Thoma, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.