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Relative Hausdorff distance for network analysis
2019
Applied Network Science
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The newly proposed graph Relative Hausdorff (RH) distance is a lightweight yet nuanced similarity measure for quantifying the closeness of two graphs. ...
In this work we study the effectiveness of RH distance as a tool for detecting anomalies in time-evolving graph sequences. ...
Acknowledgements The authors would like to thank our colleague Carlos Ortiz-Marrero for reviewing the manuscript. ...
doi:10.1007/s41109-019-0198-0
fatcat:z5lk7gul6vfg3e7teuyo36wiri
Binary Operating Antenna Array Elements by using Hausdorff and Euclidean Metric Distance
2020
International Journal of Advanced Computer Science and Applications
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Euclidean and Hausdorff distances are both used as score of the modified array performance. ...
The choice of binary operation of antenna element (on/off) reduces computational effort required for complex beam forming techniques. ...
In this way, Hausdorff distance brings a compressed scale for evaluating pattern variations.
V. ...
doi:10.14569/ijacsa.2020.0111030
fatcat:f4cmwnxxpffqjedhovntxt6iiq
Multi-beam Antenna Array Operating Over Switch On/Off Element Condition
2021
International Journal of Advanced Computer Science and Applications
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To rank the behavior of modified antenna, with the turned off elements, are used both Euclidean and Hausdorff distances to measure the changes resulted from the modified array performance. ...
Ranking Distances The above definitions of Euclidian and Hausdorff distances can be directly applied for each antenna beam. ...
Hausdorff Distance Hausdorff distance can be expressed as the maximum distance of a set, to the nearest point in the other set [12] [17] . ...
doi:10.14569/ijacsa.2021.0120144
fatcat:fsfpshhd5bdrnjhggods2eo73m
An image processing system for driver assistance
2000
Image and Vision Computing
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Systems for automated image analysis are useful for a variety of tasks. Their importance is still growing due to technological advances and increased social acceptance. ...
Fully or partly autonomously guided vehicles, particularly for road traffic, require highly reliable algorithms due to the conditions imposed by natural environments. ...
At a first step, the Hausdorff distance is used for the classification of cars and trucks. ...
doi:10.1016/s0262-8856(99)00032-3
fatcat:gnfbqzni5vh7bfmks67qp4533a
Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network
2016
Information Systems
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Our recent work proposed a k-Primary Corridor algorithm that precomputes a column-wise lookup table of network Hausdorff distances. ...
We design lower bounds of network Hausdorff distances based on the concept of track envelopes and propose three different track envelope formation strategies based on random selection, overlap, and Jaccard ...
For simplicity, we use Hausdorff distance to refer to directed network Hausdorff distance in the remainder of the paper. ...
doi:10.1016/j.is.2015.10.009
fatcat:msi53wozzrgfdlaksatzmhmdkq
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
[article]
2018
arXiv
pre-print
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Here we demonstrate an automated analysis method for CMR images, which is based on a fully convolutional network (FCN). ...
The performance of the method has been evaluated using a number of technical metrics, including the Dice metric, mean contour distance and Hausdorff distance, as well as clinically relevant measures, including ...
Automated image analysis For automated CMR image analysis, we utilise a fully convolutional network (FCN) architecture, which is a type of neural network that can predict a pixelwise image segmentation ...
arXiv:1710.09289v4
fatcat:k5li6nff6vhjvgmcp2f7ismmse
Fast and exact network trajectory similarity computation
2013
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing - UrbComp '13
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The APNTS problem is challenging due to the high cost of computing the exact Network Hausdorff Distance between trajectories in spatial big datasets. ...
Given a set of trajectories on a road network, the goal of the All-Pair Network Trajectory Similarity (APNTS) problem is to calculate the similarity between all trajectories using the Network Hausdorff ...
work, allowing for Network Hausdorff Distance to be computed efficiently on large trajectory datasets. ...
doi:10.1145/2505821.2505835
dblp:conf/kdd/EvansOSH13
fatcat:wvne5eu2affpje4vf2dyw5gwii
An improved Hausdorff distance method for locating single phase to ground fault in neutral non‐effectively grounded system
2021
IET Generation, Transmission & Distribution
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Distrib. 2021;1-13. wileyonlinelibrary.com/iet-gtd 1 How to cite this article: Wu W., et al.: An improved Hausdorff distance method for locating single phase to ground fault in neutral non-effectively ...
The analysis of the similarity of the transient zero-mode current waveform on the upstream and downstream of the fault point was used for fault location in [9] . ...
Besides, these methods are difficult to locate faulty section when the fault resistance is relatively high and they are not suitable for intermittent arc grounding fault. ...
doi:10.1049/gtd2.12212
fatcat:th7bgtbjenhtfg7jth5c67d7he
Face Identification by Real-Time Connectionist System
[chapter]
2013
Advances in Intelligent Systems and Computing
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Numerous techniques are available to implement face recognition including the principal component analysis (PCA), neural networks, and geometric approach to the problem considering the shapes of the face ...
on efficiency and application of neural networks. ...
Algorithm Implementation Summary The approach of face recognition using eigenfaces and neural networks can be summarized in the following steps:
Application of the Hausdorff Distance The Hausdorff distance ...
doi:10.1007/978-3-319-00551-5_48
fatcat:7pctxcq4nzcznjw2vajpf7zpae
Analysis of Spatial Similarities Between NEXRAD and NLDAS Precipitation Data Products
2010
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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However, if a single metric is desired, then a more comprehensive one needs to be developed to effectively account for magnitude, distance, shape, and neighborhood effects. ...
Precipitation is one of the key inputs for hydrological modeling. ...
Keil of the Institut für Physik der Atmosphäre, Germany, for discussions on the implementation of FQM, and the two anonymous reviewers for their valuable comments. ...
doi:10.1109/jstars.2010.2048418
fatcat:rh3py4p7tral3gnaspwulcky44
A novel fault section locating method based on distance matching degree in distribution network
2021
Protection and Control of Modern Power Systems
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A fault section locating method based on an amplitude feature and an intelligent distance algorithm is proposed to eliminate the influence of the above factors. ...
By analyzing and comparing the amplitude characteristics of the zero-sequence current transient components at both ends of the healthy section and the faulty section, a distance algorithm with strong abnormal ...
Acknowledgements Thanks for supporting by the National Natural Science Foundation of China (52077120) and Research Fund for Excellent Dissertation of China Three Gorges University (2021SSPY056). ...
doi:10.1186/s41601-021-00194-y
fatcat:rvhed4bkyzfl7jk5e236dittce
Image Processing for Driver Assistance
[chapter]
1998
Mustererkennung 1998
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Systems for automated image analysis are useful for a variety of tasks and their importance is still growing due to technological advances and an increase of social acceptance. ...
At the Institut für Neuroinformatik methods for analyzing driving relevant scenes by computer vision are developed in cooperation with several partners from the automobile industry. ...
At a first step, the Hausdorff distance is used for the classification of cars and trucks. ...
doi:10.1007/978-3-642-72282-0_2
dblp:conf/dagm/SeelenHKTW98
fatcat:iww76yaenndqzfy4zwreza6msa
A lightweight biometric signature scheme for user authentication over networks
2008
Proceedings of the 4th international conference on Security and privacy in communication netowrks - SecureComm '08
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We introduce a lightweight biometric solution for user authentication over networks using online handwritten signatures. ...
The algorithm proposed is based on a modified Hausdorff distance and has favorable characteristics such as low computational cost and minimal training requirements. ...
We first plot the ROCs for both the classical and modified Hausdorff distance measure-based verification algorithms in Figure 1 . ...
doi:10.1145/1460877.1460920
dblp:conf/securecomm/AlpcanKBMBC08
fatcat:oxrnyyvx7fafdpkpehd3awkv7y
Fault Location of VSC based DC Distribution Network Based on Traveling Wave Differential Current with Hausdorff Distance and Cubic Spline Interpolation
2021
IEEE Access
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INDEX TERMS VSC based DC distribution network, fault location, traveling wave differential current, Hausdorff distance, cubic spline interpolation. ...
In this paper, a new fault location method based on traveling wave differential current with Hausdorff distance and cubic spline interpolation is proposed. ...
HAUSDORFF DISTANCE THEORY Hausdorff distance is a measure of similarity between two sets of points [24] , [25] . ...
doi:10.1109/access.2021.3059935
fatcat:iwkfy6wu5fhhdcikxq2xk4rclu
Is OSM Good Enough for Vehicle Routing? A Study Comparing Street Networks in Vienna
[chapter]
2014
Lecture Notes in Geoinformation and Cartography
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We propose a method to evaluate the quality of street networks for vehicle routing purposes which compares relevant street network features as well as computed route lengths and geometries using the Hausdorff ...
distance. ...
difference in meters for all route pairs starting in the given cell
Figure 10 . 10 Rate of routes with a Hausdorff distance under a given threshold
Figure 11 . 11 Rate of routes with a Hausdorff distance ...
doi:10.1007/978-3-319-11879-6_1
fatcat:tboxgf7bmzaylouui6hum5srby
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