Results 31 to 40 of about 323,805 (281)
Automatic Measurement of Postural Abnormalities With a Pose Estimation Algorithm in Parkinson’s Disease [PDF]
Journal of Movement Disorders, 2022 Objective This study aims to develop an automated and objective tool to evaluate postural abnormalities in Parkinson’s disease (PD) patients. Methods We applied a deep learning-based pose-estimation algorithm to lateral photos of prospectively enrolled ...
Jung Hwan Shin +5 more
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If you cannot agree, move on! On labels and non-nominative subjects
Glossa, 2018 This paper examines the predictions of Chomsky’s (2013; 2015) Labeling Algorithm for structures with non-nominative, non-agreeing elements in what looks like a subject position: since such non-nominative subjects do not agree with the verb, the resulting
Allison Germain +2 more
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Learning Combinatorial Node Labeling Algorithms
CoRR, 2021 We present a novel neural architecture to solve graph optimization problems where the solution consists of arbitrary node labels, allowing us to solve hard problems like graph coloring. We train our model using reinforcement learning, specifically policy gradients, which gives us both a greedy and a probabilistic policy.
Lukas Gianinazzi +5 more
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A general cartographic labeling algorithm [PDF]
, 1996 Some apparently powerful algorithms for automatic label placement on maps use heuristics that capture considerable cartographic expertise but are hampered by provably inefficient methods of search and optimization. On the other hand, no approach to label
Christensen, Jon +3 more
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Optimizing map labeling of point features based on an onion peeling approach
Journal of Spatial Information Science, 2011 Map labeling of point features is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the quality.
Wan D Bae +4 more
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Approximation Algorithms for Free-Label Maximization
Computational Geometry, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Berg, de, M.T., Gerrits, D.H.P.
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Semi-Supervised Anomaly Detection Algorithm Using Probabilistic Labeling (SAD-PL)
IEEE Access, 2021 To detect abnormal data via semi-supervised learning, unlabeled data are generally assumed to be normal data. This assumption, however, causes inevitable performance degradation when a small fraction of abnormal data is included in the unlabeled dataset.
Kibae Lee, Chong Hyun Lee, Jongkil Lee
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Polynomial time algorithms for three-label point labeling
Theoretical Computer Science, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rob Duncan +3 more
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Visual analysis for drum sequence transcription [PDF]
, 2007 A system is presented for analysing drum performance video sequences. A novel ellipse detection algorithm is introduced that automatically locates drum tops.
Gillet, Olivier +3 more
core +1 more source
Rapid algorithm for identifying backbones in the two-dimensional percolation model
, 2001 We present a rapid algorithm for identifying the current-carrying backbone in the percolation model. It applies to general two-dimensional graphs with open boundary conditions.
RUIBAO TAO, Stauffer D., WEI-GUO YIN
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