Results 31 to 40 of about 152,652 (199)
Quantifying association in ordinal data [PDF]
Journal of Family Planning and Reproductive Health Care, 2010 What is non-parametric correlation? A non-parametric (or ordinal) correlation coefficient for two variables quantifies the extent to which there is, in the study sample, a consistent relationship between the values for the two variables. The correlation coefficient indexes the strength of the relationship found, from zero (no discernible relationship ...
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Harnessing feedback region proposals for multi‐object tracking
IET Computer Vision, 2020 In the tracking‐by‐detection approach of online multiple object tracking (MOT), a major challenge is how to associate object detections on the new video frame with previously tracked objects.
Aswathy Prasanna Kumar, Deepak Mishra
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Association discovery in two-view data [PDF]
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2015 Two-view datasets are datasets whose attributes are naturally split into two sets, each providing a different view on the same set of objects. We introduce the task of finding small and non-redundant sets of associations that describe how the two views are related.
Leeuwen, M. van, Galbrun, E.
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The digital stethoscope: Why Switzerland's Electronic Health Record requires citizen testing
Swiss Medical WeeklySwitzerland's Electronic Patient Record (EPR) system faces a critical adoption crisis: less than 2% of the population has opened an account despite years of investment. To understand this failure from the citizen's perspective, we launched the first “
Barbara C. Biedermann +3 more
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Density Based Clustering Data Association Procedure for Real–Time HFSWRs Tracking at OTH Distances
IEEE Access, 2020 In order to efficiently cover maritime areas at over the horizon (OTH) distances and thus increase marine safety in a nation's exclusive economic zone (EEZ), a network of maritime sensors built around High Frequency Surface Wave Radars (HFSWR) can be an ...
Nikola Stojkovic +2 more
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Xiehe Yixue ZazhiAcquired immunodeficiency syndrome (AIDS) is a major infectious disease that seriously endangers public health, and its samples and associated data constitute critical scientific research resources. Given that AIDS is a Class B infectious disease and its
Clinical Data and Biobank Committee of the Chinese Research Hospital Association
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Quantifying Fire Risk Index in Chemical Industry Using Statistical Modeling Procedure
Applied SciencesFire incident reports contain detailed textual narratives that capture causal factors often overlooked in structured records, while financial damage amounts provide measurable outcomes of these events.
Hyewon Jung +3 more
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A Novel Ship-Tracking Method for GF-4 Satellite Sequential Images
Sensors, 2018 The geostationary remote sensing satellite has the capability of wide scanning, persistent observation and operational response, and has tremendous potential for maritime target surveillance.
Libo Yao, Yong Liu, You He
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Comprehensive Building Fire Risk Prediction Using Machine Learning and Stacking Ensemble Methods
FireBuilding fires pose a critical threat to life and property. Therefore, accurate fire risk prediction is essential for effective building fire prevention and mitigation strategies.
Seungil Ahn +3 more
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Machines, 2022 Multiple object tracking (MOT) is a fundamental issue and has attracted considerable attention in the autonomous driving community. This paper presents a novel MOT framework for autonomous driving.
Hongjian Wei, Yingping Huang
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