Results 281 to 290 of about 3,367,886 (347)
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
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Object‐aware deep feature extraction for feature matching [PDF]
Concurrency and Computation: Practice and Experience, 2023 SummaryFeature extraction is a fundamental step in the feature matching task. A lot of studies are devoted to feature extraction. Recent researches propose to extract features by pre‐trained neural networks, and the output is used for feature matching.
Zuoyong Li +4 more
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Robust feature matching using guided local outlier factor
Pattern Recognition, 2021Gang Wang
exaly +2 more sources
Feature Based Dynamic Matching
Proceedings of the 24th ACM Conference on Economics and Computation, 2023SOAR ing to Optimality: Smarter Matching Algorithms for On-Demand Platforms In “Feature-Based Dynamic Matching,” Y. Chen, Y. Kanoria, A. Kumar, and W. Zhang study dynamic two-sided matching where both customers and service providers are characterized by high-dimensional feature vectors, motivated by platforms like on-demand home ...
Yilun Chen +3 more
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IEEE Transactions on Medical Imaging, 2023
Feature matching, which refers to establishing the correspondence of regions between two images (usually voxel features), is a crucial prerequisite of feature-based registration.
Zeyuan Chen, Yuanjie Zheng, J. Gee
semanticscholar +1 more source
Feature matching, which refers to establishing the correspondence of regions between two images (usually voxel features), is a crucial prerequisite of feature-based registration.
Zeyuan Chen, Yuanjie Zheng, J. Gee
semanticscholar +1 more source
Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning
IEEE transactions on circuits and systems for video technology (Print), 2022In underwater scenes, degraded underwater images caused by wavelength-dependent light absorption and scattering present huge challenges to vision tasks.
Qi Qi +6 more
semanticscholar +1 more source
View matching with blob features
Image and Vision Computing, 2005This paper introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the feature extraction stage. We perform experiments on the repeatability rate of the features across scale and inclination angle changes, and show that avoiding to merge regions ...
Per-Erik Forssén, Anders Moe
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Feature vector field and feature matching
Pattern Recognition, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fuchao Wu, Zhiheng Wang, Xuguang Wang
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XAI Feature Detector for Ultrasound Feature Matching
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021Feature matching is a crucial component of computer vision that has various applications. With the emergence of Computer-Aided Diagnosis (CAD), the need for feature matching has also emerged in the medical imaging field. In this paper, we proposed a novel algorithm using the Explainable Artificial Intelligence (XAI) [1] approach to achieve feature ...
Zihao Wang +3 more
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