Results 21 to 30 of about 2,385,970 (309)
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 on a quantum computer [PDF]
, 2002 By means of a simple example it is demonstrated that the task of finding and identifying certain patterns in an otherwise (macroscopically) unstructured picture (data set) can be accomplished efficiently by a quantum computer. Employing the powerful tool
A.C. Elitzur +12 more
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Massively parallel pattern recognition with link failures [PDF]
, 2000 The capabilities of reliable computations in linear cellular arrays with communication failures are investigated in terms of pattern recognition. The defective processing elements (cells) that cause the misoperations are assumed to behave as follows ...
Kutrib, Martin, Löwe, Jan-Thomas
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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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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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A convolutional neural network based deep learning methodology for recognition of partial discharge patterns from high voltage cables [PDF]
, 2019 It is a great challenge to differentiate partial discharge (PD) induced by different types of insulation defects in high-voltage cables. Some types of PD signals have very similar characteristics and are specifically difficult to differentiate, even for ...
Bhatti, Ashfaque Ahmed +11 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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Stochastic-Based Pattern Recognition Analysis
, 2012 In this work we review the basic principles of stochastic logic and propose its application to probabilistic-based pattern-recognition analysis. The proposed technique is intrinsically a parallel comparison of input data to various pre-stored categories ...
Antoni Morro +6 more
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Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
IEEE Access, 2019 The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
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Pattern Recognition In Non-Kolmogorovian Structures
, 2017 We present a generalization of the problem of pattern recognition to arbitrary probabilistic models. This version deals with the problem of recognizing an individual pattern among a family of different species or classes of objects which obey ...
Freytes, Hector +3 more
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