Author manuscript, published in "International Conference on Scale Space and Variational Methods in Computer Vision, Austria (2013)" Regularized Discrete Optimal Transport

2013

Citations in the corpus

• Model Fusion via Optimal Transport (2019, background): “[30] Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, and Jean-François Aujol.”
• Sinkhorn Distances: Lightspeed Computation of Optimal Transport (2013, neutral): “Before proceeding to the description of the properties of Sinkhorn distances, we note that Ferradans et al. (2013) have recently explored similar ideas.”
• Optimal Transport for Domain Adaptation (2014, positive): “This regularization term aims at preserving the data structure–approximated by a graph–during transport [13], [20].”
• Multivariate stochastic bias corrections with optimal transport (2018, methodology): “For example, this has already been successfully applied in image processing to transfer colors between images (Rubner et al., 2000; Ferradans et al., 2013).”
• Optimal Transport for structured data with application on graphs (2018, background): “In (Ferradans et al., 2014), authors propose a solver for a graph regularized optimal transport problem whose resulting optimization problem is also a QP.”
• Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning (2019, unknown): “In the wider context of machine learning, for instance, the Wasserstein distance is used for the analysis of mixture models [56, 70] as well as for image processing [1, 33, 55, 75, 105], computer vision and graphics [78, 79, 90, 102, 103], data-driven bioengineering [34, 57, 108], clustering [49], d”
• Understanding Unequal Gender Classification Accuracy from Face Images (2018, methodology): “Procedure 2 (Optimal transport [13]) This procedure takes as input a target skin type distribution over Y values.”
• Domain Adaptation with Regularized Optimal Transport (2014, methodology): “Let us finally remark that similar interpolation methods were used in the domain of color transfer [18].”
• Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs, and Modeling (2015, background): “For a wider discussion about 1D histogram equalization and 3D color transfer in connection with optimal transport, we refer to [164] and [255], and the references therein (in particular some older papers such as [259, 242]).”