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Diffstat (limited to 'examples/plot_optim_OTreg.py')
| -rw-r--r-- | examples/plot_optim_OTreg.py | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/examples/plot_optim_OTreg.py b/examples/plot_optim_OTreg.py index 2c58def..5eb15bd 100644 --- a/examples/plot_optim_OTreg.py +++ b/examples/plot_optim_OTreg.py @@ -6,7 +6,7 @@ Regularized OT with generic solver Illustrates the use of the generic solver for regularized OT with user-designed regularization term. It uses Conditional gradient as in [6] and -generalized Conditional Gradient as proposed in [5][7]. +generalized Conditional Gradient as proposed in [5,7]. [5] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy, Optimal Transport for @@ -14,8 +14,8 @@ Domain Adaptation, in IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.PP, no.99, pp.1-1. [6] Ferradans, S., Papadakis, N., Peyré, G., & Aujol, J. F. (2014). -Regularized discrete optimal transport. SIAM Journal on Imaging Sciences, -7(3), 1853-1882. +Regularized discrete optimal transport. SIAM Journal on Imaging +Sciences, 7(3), 1853-1882. [7] Rakotomamonjy, A., Flamary, R., & Courty, N. (2015). Generalized conditional gradient: analysis of convergence and applications. @@ -24,6 +24,7 @@ arXiv preprint arXiv:1510.06567. """ +# sphinx_gallery_thumbnail_number = 4 import numpy as np import matplotlib.pylab as pl |