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Home > Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 22nd Iberoamerican Congress, CIARP 2017, Valparaíso, Chile, November 7–10, 2017, Proceedings > A Deep Boltzmann Machine-Based Approach for Robust Image Denoising
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 22nd Iberoamerican Congress, CIARP 2017, Valparaíso, Chile, November 7–10, 2017, Proceedings |
Marcelo Mendoza; Sergio Velastín
Springer International Publishing
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 22nd Iberoamerican Congress, CIARP 2017, Valparaíso, Chile, November 7–10, 2017, Proceedings
A Deep Boltzmann Machine-Based Approach for Robust Image Denoising
Authors

Rafael G. Pires; Daniel S. Santos; Gustavo B. Souza; Aparecido N. Marana; Alexandre L. M. Levada; João Paulo Papa

ARI Id

1665103825056_4842689

Access

Not Available Free

Pages

525-533

DOI

10.1007/978-3-319-75193-1_63

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-75193-1_63

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