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Volumn 2017-December, Issue , 2017, Pages 3237-3247

Learning to compose domain-specific transformations for data augmentation

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; MEDICAL IMAGING;

EID: 85047002950     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (351)

References (32)
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    • Greensmith, E.1    Bartlett, P.L.2    Baxter, J.3
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    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 19
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • (Apr)
    • D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. Rcv1: A new benchmark collection for text categorization research. Journal of machine learning research, 5(Apr):361-397, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.G.3    Li, F.4
  • 20
    • 33747889451 scopus 로고    scopus 로고
    • Enhancing text categorization with semantic-enriched representation and training data augmentation
    • X. Lu, B. Zheng, A. Velivelli, and C. Zhai. Enhancing text categorization with semantic-enriched representation and training data augmentation. Journal of the American Medical Informatics Association, 13(5):526-535, 2006.
    • (2006) Journal of the American Medical Informatics Association , vol.13 , Issue.5 , pp. 526-535
    • Lu, X.1    Zheng, B.2    Velivelli, A.3    Zhai, C.4
  • 24
    • 85047007858 scopus 로고    scopus 로고
    • Regularization with stochastic transformations and perturbations for deep semi-supervised learning
    • M. Sajjadi, M. Javanmardi, and T. Tasdizen. Regularization with stochastic transformations and perturbations for deep semi-supervised learning. CoRR, abs/1606.04586, 2016.
    • (2016) CoRR
    • Sajjadi, M.1    Javanmardi, M.2    Tasdizen, T.3
  • 31
    • 85023774072 scopus 로고    scopus 로고
    • Improving music source separation based on deep neural networks through data augmentation and network blending
    • Submitted to
    • S. Uhlich, M. Porcu, F. Giron, M. Enenkl, T. Kemp, N. Takahashi, and Y. Mitsufuji. Improving music source separation based on deep neural networks through data augmentation and network blending. Submitted to ICASSP, 2017.
    • (2017) ICASSP
    • Uhlich, S.1    Porcu, M.2    Giron, F.3    Enenkl, M.4    Kemp, T.5    Takahashi, N.6    Mitsufuji, Y.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.