Image labeling based on graphical models using wasserstein messages and geometric assignment

R Hühnerbein, F Savarino, F Åström… - SIAM Journal on Imaging …, 2018 - SIAM
We introduce a novel approach to Maximum A Posteriori (MAP) inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …
被引用次数：18 相关文章
[PDF] uni-heidelberg.de

[PDF][PDF] IMAGE LABELING BASED ON GRAPHICAL MODELS USING WASSERSTEIN MESSAGES AND GEOMETRIC ASSIGNMENT

R HUHNERBEIN, F SAVARINO… - arXiv preprint arXiv …, 2017 - ipa.math.uni-heidelberg.de
We introduce a novel approach to Maximum A Posteriori inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …
[PDF] researchgate.net

[PDF][PDF] IMAGE LABELING BASED ON GRAPHICAL MODELS USING WASSERSTEIN MESSAGES AND GEOMETRIC ASSIGNMENT

R HUHNERBEIN, F SAVARINO, FA OM… - arXiv preprint arXiv …, 2017 - researchgate.net
We introduce a novel approach to Maximum A Posteriori inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …
[PDF] 129.206.117.249

[PDF][PDF] Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

R Hühnerbein, F Savarino, F Åström, C Schnörr - 129.206.117.249
We introduce a novel approach to Maximum A Posteriori (MAP) inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …

Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

R Hühnerbein, F Savarino, F Åström… - SIAM Journal on …, 2018 - dl.acm.org
We introduce a novel approach to Maximum A Posteriori (MAP) inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …
[PDF] uni-heidelberg.de

[PDF][PDF] Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

R Hühnerbein, F Savarino, F Åström, C Schnörr - hci.iwr.uni-heidelberg.de
We introduce a novel approach to Maximum A Posteriori (MAP) inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …

Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

R Hühnerbein, F Savarino, F Åström… - arXiv e …, 2017 - ui.adsabs.harvard.edu
We introduce a novel approach to Maximum A Posteriori inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …
[PDF] archive.org

[PDF][PDF] Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

R Hühnerbein, F Savarino, F Åström, C Schnörr - scholar.archive.org
We introduce a novel approach to Maximum A Posteriori (MAP) inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …
[PDF] uni-heidelberg.de

[PDF][PDF] IMAGE LABELING BASED ON GRAPHICAL MODELS USING WASSERSTEIN MESSAGES AND GEOMETRIC ASSIGNMENT

R HUHNERBEIN, F SAVARINO… - arXiv preprint arXiv …, 2017 - ipa.iwr.uni-heidelberg.de
We introduce a novel approach to Maximum A Posteriori inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …

Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

R Hühnerbein, F Savarino, F Åström… - arXiv preprint arXiv …, 2017 - arxiv.org
We introduce a novel approach to Maximum A Posteriori inference based on discrete
graphical models. By utilizing local Wasserstein distances for coupling assignment …