메뉴 건너뛰기




Volumn 28, Issue 2, 2012, Pages 261-288

Detonation classification from acoustic signature with the Restricted Boltzmann Machine

Author keywords

detonation classification; discriminative restricted Boltzmann machine; support vector machine

Indexed keywords

ACOUSTIC SIGNATURE; AUDIO SIGNAL; AUTONOMOUS DEVICES; CLASSIFICATION ACCURACY; CLASSIFICATION TASKS; HYPERPARAMETERS; MODEL VALIDATION; RESTRICTED BOLTZMANN MACHINE; ROCKET-PROPELLED GRENADES; SIGNAL PREPROCESSING;

EID: 84861049870     PISSN: 08247935     EISSN: 14678640     Source Type: Journal    
DOI: 10.1111/j.1467-8640.2012.00419.x     Document Type: Article
Times cited : (9)

References (42)
  • 1
    • 1642515831 scopus 로고    scopus 로고
    • In SPIE Proceedings of Sensors, and Command, Control, Communications and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement
    • Bedard, J., and, S. Pare,. 2003. Ferret, a small arms' fire detection system: Localization concepts. In SPIE Proceedings of Sensors, and Command, Control, Communications and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement, Vol. 5071, pp. 497-509.
    • (2003) Ferret, A Small Arms' Fire Detection System: Localization Concepts , vol.5071 , pp. 497-509
    • Bedard, J.1    Pare, S.2
  • 3
    • 84864073449 scopus 로고    scopus 로고
    • In Advances in Neural Information Processing Systems 19. Edited by B. Schölkopf, J. Platt, and T. Hoffman. MIT Press: Cambridge, MA, 153-160
    • Bengio, Y., P. Lamblin, D. Popovici, and, H. Larochelle,. 2007. Greedy layer-wise training of deep networks. In Advances in Neural Information Processing Systems 19. Edited by B. Schölkopf, J. Platt, and T. Hoffman. MIT Press: Cambridge, MA, pp. 153-160.
    • (2007) Greedy Layer-wise Training of Deep Networks
    • Bengio, Y.1    Lamblin, P.2    Popovici, D.3    Larochelle, H.4
  • 7
    • 84862612564 scopus 로고    scopus 로고
    • In Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 6-8, 2005, Savannah Hotel, Barbados. Edited by R. G. Cowell and Z. Ghahramani, Society for Artificial Intelligence and Statistics, (Available electronically at)
    • Carreira-Perpiñán, M. A., and, G. Hinton,. 2005. On contrastive divergence learning. In Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 6-8, 2005, Savannah Hotel, Barbados. Edited by, R. G. Cowell, and, Z. Ghahramani, Society for Artificial Intelligence and Statistics, pp. 33-40. (Available electronically at).
    • (2005) On Contrastive Divergence Learning , pp. 33-40
    • Carreira-Perpiñán, M.A.1    Hinton, G.2
  • 11
    • 84861054405 scopus 로고    scopus 로고
    • NIST/Sematech e-Handbook of Statistical Methods
    • Edited by Croarkin, C. and P. Tobias. Available at
    • NIST/Sematech e-Handbook of Statistical Methods. Edited by, Croarkin, C., and, P. Tobias,. U.S. Commerce Department. Available at.
    • U.S. Commerce Department
  • 15
    • 46449084981 scopus 로고    scopus 로고
    • Edge detection using Fourier coefficients
    • Engelberg, S., 2008. Edge detection using Fourier coefficients. American Mathematical Monthly, 115 (6): 499-513.
    • (2008) American Mathematical Monthly , vol.115 , Issue.6 , pp. 499-513
    • Engelberg, S.1
  • 16
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training support vector machines
    • Fan, R., P. Chen, and, C.-J. Lin,. 2005. Working set selection using second order information for training SVM. Journal of Machine Learning Research, 6: 1889-1918. (Pubitemid 41798130)
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1889-1918
    • Fan, R.-E.1    Chen, P.-H.2    Lin, C.-J.3
  • 19
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • Hinton, G. E., 2002. Training products of experts by minimizing contrastive divergence. Neural Computation, 14: 1171-1800.
    • (2002) Neural Computation , vol.14 , pp. 1171-1800
    • Hinton, G.E.1
  • 20
    • 84861030266 scopus 로고    scopus 로고
    • In P. Cisek, T. Drew, and J. Kalaska, editors, Computational Neuroscience: Theoretical Insights into Brain Function. Elsevier: New York
    • Hinton, G. E., 2007. To recognize shapes, first learn to generate images. In P. Cisek, T. Drew, and J. Kalaska, editors, Computational Neuroscience: Theoretical Insights into Brain Function. Elsevier: New York.
    • (2007) To Recognize Shapes, First Learn to Generate Images
    • Hinton, G.E.1
  • 21
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • DOI 10.1162/neco.2006.18.7.1527
    • Hinton, G. E., S. Osindero, and, Y. W. Teh,. 2006. A fast learning algorithm for deep belief networks. Neural Computation, 18 (7): 1527-1554. (Pubitemid 44024729)
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 22
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • DOI 10.1109/72.991427, PII S1045922702018052
    • Hsu, C.-W., and, C.-J. Lin,. 2002. A comparison of methods for multi-class support vector machines. IEEE Transactions Neural Networks, 13 (5): 415-425. (Pubitemid 34475042)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 25
    • 56449110012 scopus 로고    scopus 로고
    • In Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008), Helsinki, Finland, 536-543
    • Larochelle, H., and, Y. Bengio,. 2008. Classification using discriminative restricted Boltzmann machines. In Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008), Helsinki, Finland, pp. 536-543.
    • (2008) Classification Using Discriminative Restricted Boltzmann Machines
    • Larochelle, H.1    Bengio, Y.2
  • 26
    • 33845597672 scopus 로고    scopus 로고
    • In CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, p
    • Lasserre, J. A., C. M. Bishop, and, T. P. Minka,. 2006. Principled hybrids of generative and discriminative models. In CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, p. 8794.
    • (2006) Principled Hybrids of Generative and Discriminative Models , pp. 8794
    • Lasserre, J.A.1    Bishop, C.M.2    Minka, T.P.3
  • 27
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • In. Edited by Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta. Curran Associaties: Red Hook, NY
    • Lee, H., P. Pham, Y. Largman, and, A. Ng,. 2009. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in Neural Information Processing Systems 22. Edited by, Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and, A. Culotta,. Curran Associaties: Red Hook, NY, pp. 1096-1104.
    • (2009) Advances in Neural Information Processing Systems 22 , pp. 1096-1104
    • Lee, H.1    Pham, P.2    Largman, Y.3    Ng, A.4
  • 32
    • 59549087165 scopus 로고    scopus 로고
    • generative classifiers: A comparison of logistic regression and naive Bayes. In Advances in Neural Information Processing Systems 14. Edited by T. G. Dietterich, S. Becker, and Z. Ghahramani. MIT Press: Cambridge, MA, 841-848
    • Ng, A. Y., and, M. I. Jordan,. 2002. On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. In Advances in Neural Information Processing Systems 14. Edited by T. G. Dietterich, S. Becker, and Z. Ghahramani. MIT Press: Cambridge, MA, pp. 841-848.
    • (2002) On Discriminative Vs
    • Ng, A.Y.1    Jordan, M.I.2
  • 36
    • 34547983260 scopus 로고    scopus 로고
    • In Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007), Oregon State University, Corvalis, OR, 791-798
    • Salakhutdinov, R., A. Minh, and, G. Hinton,. 2007. Restricted Boltzmann machines for collaborative filtering. In Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007), Oregon State University, Corvalis, OR, pp. 791-798.
    • (2007) Restricted Boltzmann Machines for Collaborative Filtering
    • Salakhutdinov, R.1    Minh, A.2    Hinton, G.3
  • 42


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.