Results 21 to 30 of about 134,657 (258)
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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IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models
Recent advances in deep neural networks have achieved outstanding success in natural language processing tasks. Interpretation methods that provide insight into the decision-making process of these models have received an influx of research attention ...
Mohammed Khaleel +5 more
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The Temperament Police: The Truth, The Ground Truth, And Nothing But The Truth. [PDF]
[TODO] Add abstract here.
Dixon, S., Tidhar, D., Benetos, E.
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Precision agriculture is highly dependent on the collection of high quality ground truth data to validate the algorithms used in prescription maps. However, the process of collecting ground truth data is labor-intensive and costly.
Brianna B. Posadas +3 more
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EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS [PDF]
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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AXIOMS FOR GROUNDED TRUTH [PDF]
AbstractWe axiomatize Leitgeb’s (2005) theory of truth and show that this theory proves all arithmetical sentences of the system of ramified analysis up to ε0. We also give alternative axiomatizations of Kripke’s (1975) theory of truth (Strong Kleene and supervaluational version) and show that they are at least as strong as the Kripke-Feferman system ...
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Does Set Theory Really Ground Arithmetic Truth?
We consider the foundational relation between arithmetic and set theory. Our goal is to criticize the construction of standard arithmetic models as providing grounds for arithmetic truth. Our method is to emphasize the incomplete picture of both theories
Alfredo Roque Freire
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Lake Chad is facing critical situations since the 1960s due to the effects of climate change and anthropogenic activities. The statistical analyses of remote sensing climate variables (i.e., evapotranspiration, specific humidity, soil temperature, air ...
Kim-Ndor Djimadoumngar
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A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning
Multi-view partial multi-label learning (MVPML) is a fundenmental problem where each sample is linked to multiple kinds of features and candidate labels, including ground-truth and noise labels.
Jiazheng Yuan +3 more
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A Newly Developed Ground Truth Dataset for Visual Saliency in Videos
Visual saliency models aim to detect important and eye catching portions in a scene by exploiting human visual system characteristics. The effectiveness of visual saliency models is evaluated by comparing saliency maps with a ground truth data set.
Muhammad Zeeshan +5 more
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