Abstract | ||
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•A new algorithm for the solution of the optimal transport barycenter problem on manifolds is proposed.•The algorithm allows the adoption of very general, non necessarily pairwise, cost functions.•The algorithm overcomes the adversarial nature of the barycenter problem.•A new cost function penalizing non-isotropic maps is introduced.•The efficacy of the method is illustrated on synthetic examples and on the MNIST data set. |
Year | DOI | Venue |
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2022 | 10.1016/j.patcog.2022.108795 | Pattern Recognition |
Keywords | DocType | Volume |
Optimal transport,Barycenter problem,Pattern visualization,Simulation,Generative models | Journal | 130 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tabak Esteban G | 1 | 1 | 1.72 |
Giulio Trigila | 2 | 0 | 1.01 |
Wenjun Zhao | 3 | 0 | 1.01 |