Results 1 to 10 of about 1,261,630 (267)
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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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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Ground truth based comparison of saliency maps algorithms [PDF]
Scientific Reports, 2023 Deep neural networks (DNNs) have achieved outstanding results in domains such as image processing, computer vision, natural language processing and bioinformatics.
Karolina Szczepankiewicz +7 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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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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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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Zeitschrift für digitale Geisteswissenschaften, 2021 We present an OCR ground truth data set for historical prints and show improvement of recognition results over baselines with training on this data. We reflect on reusability of the ground truth data set based on two
David Lassner +3 more
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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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EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Scan2BIM approaches, i.e. the automated reconstruction of building models from point cloud data, is typically evaluated against the same point clouds which are used as input for the reconstruction process.
J. Schmidt +4 more
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