Results 171 to 180 of about 32,144 (182)
A new hybrid model for enhancing low-dose CT images using EfficientNetV2 and WGAN-GP: a multi-loss approach. [PDF]
Eur J Med ResHojjat M, Shayegan MJ.
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On the Rate-Distortion Theory for Task-Specific Semantic Communication. [PDF]
Entropy (Basel)Chai J, Zhu H, Xiao Y, Shi G, Zhang P.
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Omnichannel pricing and inventory strategies considering live streaming selling: A data-driven distributionally robust optimization approach. [PDF]
PLoS OneMou Y, Zhou H, Yang X, Guan Z.
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Novel molecule design with POWGAN, a policy-optimized Wasserstein generative adversarial network. [PDF]
J CheminformMacedo B, Vaz IR, Gomes TT.
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Computing the distance between unbalanced distributions: the flat metric. [PDF]
Mach LearnSchmidt H, Düll C.
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2009
Assume, as before, that you are in charge of the transport of goods between producers and consumers, whose respective spatial distributions are modeled by probability measures.
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Assume, as before, that you are in charge of the transport of goods between producers and consumers, whose respective spatial distributions are modeled by probability measures.
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Clustering Linear Models Using Wasserstein Distance
2009This paper deals with the clustering of complex data. The input elements to be clustered are linear models estimated on samples arising from several sub-populations (typologies of individuals). We review the main approaches to the computation of metrics between linear models. We propose to use a Wasserstein based metric for the first time in this field.
IRPINO, Antonio, VERDE, Rosanna
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Wasserstein distances and curves in the Wasserstein spaces
2015In this chapter we use the minimal value of transport problems between two probabilities in order to define a distance on the space of probabilities. We mainly consider costs of the form \(c(x,y) = \vert x - y\vert ^{p}\) in \(\varOmega \subset \mathbb{R}^{d}\). We analyze the properties of the distance (called Wasserstein distance) that it defines, in
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Wasserstein Distance and Realized Volatility
SSRN Electronic Journal, 2023Hugo Gobato Souto, Amir Moradi
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