메뉴 건너뛰기




Volumn , Issue , 2016, Pages 592-597

Application of deep learning to computer vision: A comprehensive study

Author keywords

AlexNet; CNN; Comprehensive study; Deep learning; VGG S

Indexed keywords

BENCHMARKING; DATA HANDLING; INFORMATION SCIENCE; LEARNING SYSTEMS;

EID: 85007203138     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEV.2016.7760071     Document Type: Conference Paper
Times cited : (32)

References (37)
  • 1
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • H. Lee, P. Pham, Y. Largman, and A. Y. Ng, "Unsupervised feature learning for audio classification using convolutional deep belief networks," in Advances in neural information processing systems, 2009, pp. 1096-1104.
    • (2009) Advances in Neural Information Processing Systems , pp. 1096-1104
    • Lee, H.1    Pham, P.2    Largman, Y.3    Ng, A.Y.4
  • 6
    • 39549093773 scopus 로고    scopus 로고
    • Evaluation of gender classification methods with automatically detected and aligned faces
    • E. Mäkinen and R. Raisamo, "Evaluation of gender classification methods with automatically detected and aligned faces," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 30, no. 3, pp. 541-547, 2008.
    • (2008) Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.30 , Issue.3 , pp. 541-547
    • Mäkinen, E.1    Raisamo, R.2
  • 10
    • 0017429276 scopus 로고
    • The Berkeley model
    • P. Heit, "The berkeley model," Health education, vol. 8, no. 1, pp. 2-3, 1977.
    • (1977) Health Education , vol.8 , Issue.1 , pp. 2-3
    • Heit, P.1
  • 15
  • 20
    • 85007209059 scopus 로고    scopus 로고
    • An automated system for garment texture design class identification
    • E. K. Dey, M. N. A. Tawhid, and M. Shoyaib, "An automated system for garment texture design class identification," Computers, vol. 4, no. 3, pp. 265-282, 2015.
    • (2015) Computers , vol.4 , Issue.3 , pp. 265-282
    • Dey, E.K.1    Tawhid, M.N.A.2    Shoyaib, M.3
  • 21
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • Springer
    • M. D. Zeiler and R. Fergus, "Visualizing and understanding convolutional networks," in Computer Vision-ECCV 2014. Springer, 2014, pp. 818-833.
    • (2014) Computer Vision-ECCV 2014 , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2
  • 29
    • 34047174674 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
    • L. Fei-Fei, R. Fergus, and P. Perona, "Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories," Computer Vision and Image Understanding, vol. 106, no. 1, pp. 59-70, 2007.
    • (2007) Computer Vision and Image Understanding , vol.106 , Issue.1 , pp. 59-70
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 31
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope," International journal of computer vision, vol. 42, no. 3, pp. 145-175, 2001.
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 35
    • 51849117118 scopus 로고    scopus 로고
    • Labeled faces in the wild: A database for studying face recognition in unconstrained environments
    • University of Massachusetts, Amherst, Tech. Rep
    • G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller, "Labeled faces in the wild: A database for studying face recognition in unconstrained environments," Technical Report 07-49, University of Massachusetts, Amherst, Tech. Rep., 2007.
    • (2007) Technical Report 07-49
    • Huang, G.B.1    Ramesh, M.2    Berg, T.3    Learned-Miller, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.