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Volumn , Issue , 2017, Pages

Amortised map inference for image super-resolution

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION; MEAN SQUARE ERROR; NETWORK ARCHITECTURE; NEURAL NETWORKS; OPTICAL RESOLVING POWER;

EID: 85081923574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (205)

References (32)
  • 1
    • 84919754597 scopus 로고    scopus 로고
    • What regularized auto-encoders learn from the data-generating distribution
    • Guillaume Alain and Yoshua Bengio. What regularized auto-encoders learn from the data-generating distribution. Journal of Machine Learning Research, 15(1):3563-3593, 2014.
    • (2014) Journal of Machine Learning Research , vol.15 , Issue.1 , pp. 3563-3593
    • Alain, G.1    Bengio, Y.2
  • 7
    • 85070999136 scopus 로고    scopus 로고
    • retrieved on 22 Sept 2016
    • David Garcia. Open source code. retrieved on 22 Sept 2016, 2016. URL https://github.com/david-gpu/srez.
    • (2016) Open Source Code
    • Garcia, D.1
  • 29
    • 84864448320 scopus 로고    scopus 로고
    • Mixtures of conditional Gaussian scale mixtures applied to multiscale image representations
    • Lucas Theis, Reshad Hosseini, and Matthias Bethge. Mixtures of conditional gaussian scale mixtures applied to multiscale image representations. PLoS ONE, 2012.
    • (2012) PLoS ONE
    • Theis, L.1    Hosseini, R.2    Bethge, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.