Results 131 to 140 of about 24,182 (212)
Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints
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Zixuan Cang, Yaqi Wu, Yanxiang Zhao
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Deep learning technology can effectively assist physicians in diagnosing chest radiographs. Conventional domain adaptation methods suffer from inaccurate lesion region localization, large errors in feature extraction, and a large number of model ...
Bishi He +3 more
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In this paper, we propose a data-driven distributionally robust optimization (DRO) framework that ensures the economical and robust operation of solar photovoltaic (PV)-integrated battery charging swapping stations (BCSSs) for electric vehicles (EVs ...
Haram Kim, Sangyoon Lee, Dae-Hyun Choi
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Analysis of dynamically stable patterns in a maze-like corridor using the Wasserstein metric. [PDF]
Ishiwata R, Kinukawa R, Sugiyama Y.
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JKO schemes with general transport costs. [PDF]
Rankin C, Wong TL.
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A Distribution-Based Metric for Quantifying Dispersibility in Dry Powder Inhalers. [PDF]
Xia G +4 more
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A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI. [PDF]
Nie X, Shi Y.
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Image generator for tabular data based on non-Euclidean metrics for CNN-based classification. [PDF]
Lin YR, Wu HM.
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MM-WAE: Multimodal Wasserstein Autoencoders for Semi-Supervised Wafer Map Defect Recognition. [PDF]
Zhang Y, Sun Q, Liu Z, Zhang DW.
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A Universal Metric of Dataset Similarity for Cross-silo Federated Learning. [PDF]
Elhussein A, GĂĽrsoy G.
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