Results 11 to 20 of about 134,657 (258)
Ground truth clustering is not the optimum clustering [PDF]
Scientific ReportsData clustering is a fundamental yet challenging task in data science. The minimum sum-of-squares clustering (MSSC) problem aims to partition data points into k clusters to minimize the sum of squared distances between the points and their cluster ...
Lucia Absalom Bautista +3 more
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Ground Truth Dataset: Objectionable Web Content
Data, 2022 Cyber parental control aims to filter objectionable web content and prevent children from being exposed to harmful content. Succeeding in detecting and blocking objectionable content depends heavily on the accuracy of the topic model.
Hamza H. M. Altarturi, Nor Badrul Anuar
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Long-term visual localization in dynamic benthic environments: the SEALOC dataset, footprint-based ground truth, and visual place recognition benchmark [PDF]
Frontiers in Robotics and AILong-term visual localization has the potential to reduce cost and improve mapping quality in optical benthic monitoring with autonomous underwater vehicles Despite this potential, long-term visual localization in benthic environments remains ...
Martin Kvisvik Larsen, Oscar Pizarro
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Evaluating hippocampal replay without a ground truth [PDF]
eLifeDuring rest and sleep, memory traces replay in the brain. The dialogue between brain regions during replay is thought to stabilize labile memory traces for long-term storage.
Masahiro Takigawa +3 more
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ISPRS International Journal of Geo-Information, 2022 Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linked to
Usman Ali +5 more
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Ground Truths for the Humanities
CoRR, 2021 Provocation paper presented at the 5th Workshop on Visualization for the Digital Humanities (VIS4DH), part of the 31st IEEE Visualization Conference, IEEE VIS 2020, Virtual Event, Salt Lake City, USA, October 25-30, 2020.
Yvette Oortwijn +2 more
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Monocular weakly supervised depth and pose estimation method based on multi-information fusion
Kuwait Journal of Science, 2022 Current monocular visual odometry methods usually either require a large amount of expensive ground truth data or require effective training to obtain suboptimal results. This paper presents a weakly supervised monocular depth and camera pose estimation
Zhimin Zhang +2 more
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PLoS ONE, 2023 While linking records across large administrative datasets ["big data"] has the potential to revolutionize empirical social science research, many administrative data files do not have common identifiers and are thus not designed to be linked to others ...
Sarah Tahamont +5 more
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Deriving Ground Truth Labels for Regression Problems Using Annotator Precision
Applied Sciences, 2023 When training machine learning models with practical applications, a quality ground truth dataset is critical. Unlike in classification problems, there is currently no effective method for determining a single ground truth value or landmark from a set of
Benjamin Johnston, Philip de Chazal
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GROUND TRUTH GENERATION AND DISPARITY ESTIMATION FOR OPTICAL SATELLITE IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Several 3D reconstruction pipelines are being developed around the world for satellite imagery. Most of them implement their own versions of Semi-Global Matching, as an option for the matching step.
M. Cournet +7 more
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