Results 1 to 10 of about 64,762 (212)

On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking [PDF]

open access: yesEuropean Radiology Experimental, 2021
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.
Orhun Utku Aydin   +7 more
doaj   +2 more sources

Identifying Irregular Potatoes Using Hausdorff Distance and Intersection over Union [PDF]

open access: yesSensors, 2022
Further processing and the added value of potatoes are limited by irregular potatoes. An ellipse-fitting-based Hausdorff distance and intersection over union (IoU) method for identifying irregular potatoes is proposed to solve the problem.
Yongbo Yu   +3 more
doaj   +2 more sources

Two Dimensional Yau-Hausdorff Distance with Applications on Comparison of DNA and Protein Sequences. [PDF]

open access: yesPLoS ONE, 2015
Comparing DNA or protein sequences plays an important role in the functional analysis of genomes. Despite many methods available for sequences comparison, few methods retain the information content of sequences.
Kun Tian   +5 more
doaj   +2 more sources

Chordal Hausdorff Convergence and Quasihyperbolic Distance [PDF]

open access: yesAnalysis and Geometry in Metric Spaces, 2020
We study Hausdorff convergence (and related topics) in the chordalization of a metric space to better understand pointed Gromov-Hausdorff convergence of quasihyperbolic distances (and other conformal distances).
Herron David A.   +2 more
doaj   +3 more sources

Computational aspects of the Hausdorff distance in unbounded dimension [PDF]

open access: yesJournal of Computational Geometry, 2014
We study the computational complexity of determining the Hausdorff distance oftwo polytopes given in halfspace- or vertex-presentation in arbitrary dimension.
Stefan König
doaj   +5 more sources

Relative Hausdorff distance for network analysis [PDF]

open access: yesApplied Network Science, 2019
Similarity measures are used extensively in machine learning and data science algorithms. The newly proposed graph Relative Hausdorff (RH) distance is a lightweight yet nuanced similarity measure for quantifying the closeness of two graphs.
Sinan G. Aksoy   +3 more
doaj   +3 more sources

Branching Geodesics of the Gromov-Hausdorff Distance

open access: yesAnalysis and Geometry in Metric Spaces, 2022
In this paper, we first evaluate topological distributions of the sets of all doubling spaces, all uniformly disconnected spaces, and all uniformly perfect spaces in the space of all isometry classes of compact metric spaces equipped with the Gromov ...
Ishiki Yoshito
doaj   +3 more sources

Hausdorff Distance Model-Based Identity Authentication for IP Circuits in Service-Centric Internet-of-Things Environment [PDF]

open access: yesSensors, 2019
Rapid advances in the Internet-of-Things (IoT) have exposed the underlying hardware devices to security threats. As the major component of hardware devices, the integrated circuit (IC) chip also suffers the threat of illegal, malicious attacks.
Wei Liang   +4 more
doaj   +2 more sources

'Hausdorff distance' via conical cocompletion

open access: yes, 2009
In the context of quantaloid-enriched categories, we explain how each saturated class of weights defines, and is defined by, an essentially unique full sub-KZ-doctrine of the free cocompletion KZ-doctrine.
Stubbe, Isar
core   +3 more sources

Hausdorff Measures on Generalized Set Valued Neutrosophic Quadruple Numbers and Decision Making Applications for Adequacy of Online Education [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
In this paper, we develop a new method of decision-making algorithm with Hausdorff distance and Hausdorff similarity measures based on generalized set-valued neutrosophic quadruple numbers.
Sevilay Şahin   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy