메뉴 건너뛰기




Volumn , Issue , 2014, Pages 34-41

Deep multimodal fusion: Combining discrete events and continuous signals

Author keywords

Auto encoders; Behaviour; Convolutional neural networks; Deep learning; Multimodal fusion; Physiology; Pooling method; Sequence classification; Sequence fusion

Indexed keywords

CONVOLUTION; INTERACTIVE COMPUTER SYSTEMS; NEURAL NETWORKS; PHYSIOLOGY; VIDEO RECORDING;

EID: 84939496406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2663204.2663236     Document Type: Conference Paper
Times cited : (70)

References (21)
  • 4
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.1    Salakhutdinov, R.2
  • 7
    • 0001683328 scopus 로고
    • The performance of fisher's linear discriminant function under non-optimal conditions
    • W. Krzanowski. The performance of fisher's linear discriminant function under non-optimal conditions. Technometrics, 19(2):191-200, 1977.
    • (1977) Technometrics , vol.19 , Issue.2 , pp. 191-200
    • Krzanowski, W.1
  • 8
    • 0002263996 scopus 로고
    • Convolutional networks for images, speech, and time series
    • Cambridge, MA: MIT Press
    • Y. LeCun and Y. Bengio. Convolutional networks for images, speech, and time series. In The handbook of brain theory and neural networks, volume 3361. Cambridge, MA: MIT Press, 1995.
    • (1995) The Handbook of Brain Theory and Neural Networks , vol.3361
    • LeCun, Y.1    Bengio, Y.2
  • 12
    • 38749138473 scopus 로고    scopus 로고
    • Modeling self-efficacy in intelligent tutoring systems: An inductive approach
    • S. Mcquiggan, B. Mott, and J. Lester. Modeling self-efficacy in intelligent tutoring systems: An inductive approach. User Modeling and User-Adapted Interaction, 18(1):81-123, 2008.
    • (2008) User Modeling and User-Adapted Interaction , vol.18 , Issue.1 , pp. 81-123
    • Mcquiggan, S.1    Mott, B.2    Lester, J.3
  • 16
    • 2942590310 scopus 로고    scopus 로고
    • Toward an affect-sensitive multimodal human-computer interaction
    • M. Pantic and L. Rothkrantz. Toward an affect-sensitive multimodal human-computer interaction. Proceedings of the IEEE, 91(9):1370-1390, 2003.
    • (2003) Proceedings of the IEEE , vol.91 , Issue.9 , pp. 1370-1390
    • Pantic, M.1    Rothkrantz, L.2
  • 18
    • 84896877696 scopus 로고
    • Backpropagation: Theory, architectures, and applications
    • D. Rumelhart. Backpropagation: Theory, architectures, and applications. Lawrence Erlbaum, 1995.
    • (1995) Lawrence Erlbaum
    • Rumelhart, D.1
  • 19
    • 84877724347 scopus 로고    scopus 로고
    • Multimodal learning with deep boltzmann machines
    • F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors, pages, Curran Associates, Inc
    • N. Srivastava and R. Salakhutdinov. Multimodal learning with deep boltzmann machines. In F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors, Advances in Neural Information Processing Systems 25, pages 2222-2230. Curran Associates, Inc., 2012.
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 2222-2230
    • Srivastava, N.1    Salakhutdinov, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.