Results 21 to 30 of about 2,450,419 (369)
Fault tolerant parallel pattern recognition [PDF]
, 2000 The general capabilities of fault tolerant computations in one-way and two-way linear cellular arrays are investigated in terms of pattern recognition.
Kutrib, Martin, Löwe, Jan-Thomas
core +1 more source
AUCReshaping: improved sensitivity at high-specificity
Scientific Reports, 2023 The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of ...
Sheethal Bhat +9 more
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Sparse self-attention aggregation networks for neural sequence slice interpolation
BioData Mining, 2021 Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
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Exploring Misclassification Information for Fine-Grained Image Classification
Sensors, 2021 Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
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Scientific Reports, 2021 Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting ...
Christian Bergler +7 more
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Pattern recognition in bees [PDF]
Frontiers in Behavioral Neuroscience, 2010 Adrian Horridge has written an interesting, useful, and very opinionated book on the visual system of insects. He states that it could be used by university students interested in the physiology of vision or the psychology of perception, by entomologists or zoologists, by engineers interested in robot vision, and by philosophers interested in the ...
openaire +3 more sources
The Comfort of Pattern Recognition [PDF]
Clinical Chemistry, 2016 As a trainee chemical pathologist, I find it immensely satisfying when I recognize a familiar pattern in a seemingly confusing array of biochemical results. Similarly, when gazing at the infinite …
openaire +4 more sources
TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Multiimage super-resolution (MISR), as one of the most promising directions in remote sensing, has become a needy technique in the satellite market.
Tai An +5 more
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SSN2V: unsupervised OCT denoising using speckle split
Scientific Reports, 2023 Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach.
Julia Schottenhamml +6 more
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Journal of Imaging, 2017 Segmentation is one of the most important parts of medical image analysis. Manual segmentation is very cumbersome, time-consuming, and prone to inter-observer variability. Fully automatic segmentation approaches require a large amount of labeled training
Tanja Kurzendorfer +6 more
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