Results 1 to 10 of about 51,212 (207)
Correction: Tallarita et al. The Role of –OEt Substituents in Molybdenum-Assisted Pentathiepine Formation—Access to Diversely Functionalized Azines. Molecules 2024, 29, 3806 [PDF]
In the original publication [...]
Roberto Tallarita +4 more
doaj +2 more sources
On the Hausdorff and packing measures of typical compact metric spaces
We study the Hausdorff and packing measures of typical compact metric spaces belonging to the Gromov–Hausdorff space (of all compact metric spaces) equipped with the Gromov–Hausdorff metric.
Lars Olsen
exaly +2 more sources
On (semi)topology L-algebras [PDF]
Here, we define (semi)topological L-algebras and some related results are approved. Then we deduce conditions that mention an L-algebra to be a semi-topological or a topological L-algebra and we check some attributes of them.
Mona Aaly Kologani
doaj +1 more source
Hausdorff compactifications [PDF]
Previously, the authors used the insights of Robinson's non-standard analysis as a powerful tool to extend and simplify the construction of some compactifications of regular spaces. They now show that any Hausdorff compactification is obtainable with their method.
Matt Insall +2 more
openaire +3 more sources
The Gromov–Hausdorff distance between spheres [PDF]
We provide general upper and lower bounds for the Gromov-Hausdorff distance $d_{\mathrm{GH}}(\mathbb{S}^m,\mathbb{S}^n)$ between spheres $\mathbb{S}^m$ and $\mathbb{S}^n$ (endowed with the round metric) for $0\leq ...
Sunhyuk Lim +2 more
semanticscholar +1 more source
The 100th anniversary of fractal geometry: From Julia and Fatou through Hausdorff and Besicovitch to Mandelbrot [PDF]
The purpose of this article is to present the biographies of the main creators of fractal geometry from the moment the first ideas arose, when the term «fractal» did not exist, to the present day.
Vdovina, Galina Mihajlovna +1 more
doaj +1 more source
A Generalized Hausdorff Distance Based Quality Metric for Point Cloud Geometry [PDF]
Reliable quality assessment of decoded point cloud geometry is essential to evaluate the compression performance of emerging point cloud coding solutions and guarantee some target quality of experience.
Alireza Javaheri +3 more
semanticscholar +1 more source
Average Hausdorff distance is a widely used performance measure to calculate the distance between two point sets. In medical image segmentation, it is used to compare ground truth images with segmentations allowing their ranking.
O. Aydin +7 more
semanticscholar +1 more source
An Efficient Algorithm for Calculating the Exact Hausdorff Distance
Abdel Aziz Taha
exaly +2 more sources
Hausdorff dimension, heavy tails, and generalization in neural networks [PDF]
Despite its success in a wide range of applications, characterizing the generalization properties of stochastic gradient descent (SGD) in non-convex deep learning problems is still an important challenge.
Umut Simsekli +3 more
semanticscholar +1 more source

