Results 121 to 130 of about 2,269,164 (264)
Bidirectional meta-Kronecker factored optimizer and Hausdorff distance loss for few-shot medical image segmentation. [PDF]
Sci Rep, 2023 Kim Y, Kang D, Mok Y, Kwon S, Paik J.
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Some Properties of Gromov–Hausdorff Distances [PDF]
Discrete & Computational Geometry, 2012 The Gromov–Hausdorff distance between metric spaces appears to be a useful tool for modeling some object matching procedures. Since its conception it has been mainly used by pure mathematicians who are interested in the topology generated by this distance, and quantitative consequences of the definition are not very common.
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Interactions between universal composition operators and complex dynamics
Journal of the London Mathematical Society, Volume 112, Issue 3, September 2025.Abstract This paper is concerned with universality properties of composition operators Cf$C_f$, where the symbol f$f$ is given by a transcendental entire function restricted to parts of its Fatou set. We determine universality of Cf$C_f$ when f$f$ is restricted to (subsets of) Baker and wandering domains.
Vasiliki Evdoridou +2 more
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Deformations of Anosov subgroups: Limit cones and growth indicators
Journal of the London Mathematical Society, Volume 112, Issue 3, September 2025.Abstract Let G$G$ be a connected semisimple real algebraic group. We prove that limit cones vary continuously under deformations of Anosov subgroups of G$G$ under a certain convexity assumption, which turns out to be necessary. We apply this result to the notion of sharpness for the action of a discrete subgroup on a non‐Riemannian homogeneous space ...
Subhadip Dey, Hee Oh
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3D Segmentation for Multi-Organs in CT Images
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2013 The study addresses the challenging problem of automatic segmentation of the human anatomy needed for radiation dose calculations. Three-dimensional extensions of two well-known state-of-the art segmentation techniques are proposed and tested for ...
Mariusz Bajger, Gobert Lee, Martin Caon
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IH-TCGAN: Time-Series Conditional Generative Adversarial Network with Improved Hausdorff Distance for Synthesizing Intention Recognition Data. [PDF]
Entropy (Basel), 2023 Wang S, Wang G, Fu Q, Song Y, Liu J.
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Hausdorff Distance and a Compactness Criterion for Continuous Functions [PDF]
, 1986 Gerald Beer
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COMPUTING THE HAUSDORFF DISTANCE BETWEEN CURVED OBJECTS
International Journal of Computational Geometry & Applications, 2008 The Hausdorff distance between two sets of curves is a measure for the similarity of these objects and therefore an interesting feature in shape recognition. If the curves are algebraic computing the Hausdorff distance involves computing the intersection points of the Voronoi edges of the one set with the curves in the other.
Alt, Helmut, Scharf, Ludmila
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PIKART: A Comprehensive Global Catalog of Atmospheric Rivers
Journal of Geophysical Research: Atmospheres, Volume 130, Issue 15, 16 August 2025.Abstract Catalogs of atmospheric rivers (ARs) are vital resources to advance AR science. Many available AR catalogs have regional extent, although only global AR catalogs can record large‐scale heterogeneities in AR transport. However, identification of ARs at a global scale presents substantial challenges caused by regionally and temporally varying ...
S. M. Vallejo‐Bernal +3 more
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Advances in Radiation OncologyPurpose: The use of deep learning to auto-contour organs at risk (OARs) in gynecologic radiation treatment is well established. Yet, there is limited data investigating the prospective use of auto-contouring in clinical practice. In this study, we assess
Abigayle C. Kraus, MD +10 more
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