Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization-Reference-Cited by-同舟云学术

Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization

Published:2018 Issue: Volume: Page:20-29
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Otero Daniel,Torre Davide La,Michailovich Oleg V.,Vrscay Edward R.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93000-8_3

Reference20 articles.

1. Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)

2. Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3, 1–122 (2010)

3. Lecture Notes in Computer Science;D Brunet,2010

4. Brunet, D., Vrscay, E.R., Wang, Z.: On the mathematical properties of the structural similarity index. IEEE Trans. Image Process. 21, 1488–1499 (2012)

5. Brunet, D., Channappayya, S., Wang, Z., Vrscay, E.R., Bovik, A.: Optimizing image quality. In: Handbook of Convex Optimization Methods in Imaging Science, pp. 15–41 (2017)

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