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Practical Frank-Wolfe algorithms


Oct 19, 2020
Vladimir Kolmogorov


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MAP inference via Block-Coordinate Frank-Wolfe Algorithm


Jun 13, 2018
Paul Swoboda, Vladimir Kolmogorov


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Efficient Optimization for Rank-based Loss Functions


Feb 28, 2018
Pritish Mohapatra, Michal Rolinek, C. V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar

* 15 pages, 2 figures 

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Inference algorithms for pattern-based CRFs on sequence data


Jan 20, 2017
Rustem Takhanov, Vladimir Kolmogorov

* Algorithmica, September 2016, Volume 76, Issue 1, pp 17-46 
* Algorithmica accepted version 

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A new look at reweighted message passing


Jan 19, 2017
Vladimir Kolmogorov

* TPAMI, 37(5):919-930 (May, 2015) 
* TPAMI accepted version 

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Total variation on a tree


Apr 25, 2016
Vladimir Kolmogorov, Thomas Pock, Michal Rolinek

* accepted to SIAM Journal on Imaging Sciences (SIIMS) 

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A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle


Nov 18, 2014
Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert


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Combining pattern-based CRFs and weighted context-free grammars


Nov 01, 2014
Rustem Takhanov, Vladimir Kolmogorov

* 11 pages 

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Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM), 2014


Apr 30, 2014
Vladimir Kolmogorov, Christoph Lampert, Emilie Morvant, Rustem Takhanov


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Simplifying Energy Optimization using Partial Enumeration


Oct 08, 2013
Carl Olsson, Johannes Ulen, Yuri Boykov, Vladimir Kolmogorov

* 13 pages, 16 figures. "Partial Enumeration and Curvature Regularization" In International Conference on Computer Vision (ICCV), 2013 

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Potts model, parametric maxflow and k-submodular functions


Oct 07, 2013
Igor Gridchyn, Vladimir Kolmogorov

* Accepted to ICCV 2013 

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Generalized sequential tree-reweighted message passing


Sep 13, 2012
Vladimir Kolmogorov, Thomas Schoenemann


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On the optimality of tree-reweighted max-product message-passing


Jul 04, 2012
Vladimir Kolmogorov, Martin Wainwright

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Submodular Decomposition Framework for Inference in Associative Markov Networks with Global Constraints


Mar 05, 2011
Anton Osokin, Dmitry Vetrov, Vladimir Kolmogorov

* 17 pages. Shorter version to appear in CVPR 2011 

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