Results 31 to 40 of about 917,432 (268)
Diffusion representations [PDF]
Applied and Computational Harmonic Analysis, 2018 Diffusion Maps framework is a kernel based method for manifold learning and data analysis that defines diffusion similarities by imposing a Markovian process on the given dataset. Analysis by this process uncovers the intrinsic geometric structures in the data.
Moshe Salhov +3 more
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Q-Diffusion: Quantizing Diffusion Models
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 The code is available at https://github.com/Xiuyu-Li/q ...
Xiuyu Li +7 more
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Bioengineering, 2023 Tooth decay, or dental caries, is a widespread and costly disease that is reversible when detected early in its formation. Current dental caries diagnostic methods including X-ray imaging and intraoral examination lack the sensitivity and specificity ...
Robert Welch +7 more
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Vadose Zone Journal, 2020 The objective of this study was to evaluate the performance of two commercial‐grade electromagnetic sensors in measuring soil water content for the U.S. Climate Reference Network (USCRN). One sensor was a 50‐MHz coaxial impedance dielectric sensor (model
Timothy B. Wilson +8 more
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Journal diffusion factors – a measure of diffusion? [PDF]
Aslib Proceedings, 2004 This paper shows that the measure of diffusion introduced by Ian Rowlands called the journal diffusion factor (JDF) is highly negatively correlated with the number of citations, leading highly cited journals to get a low JDF, whereas less cited journals get a high JDF.
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BDHI: a French national database on historical floods
E3S Web of Conferences, 2016 The paper describes the various features of the BDHI database (objects, functions, content). This document database provides document sheets on historical floods from various sources: technical reports from water authorities, scientific accounts ...
Lang Michel +4 more
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Frontiers in Animal Science, 2023 IntroductionChronic diarrhoea is one of the most recurrent health issues in pig herds. Among Q9 the causative agents of diarrhoea, Lawsonia intracellularis is quite frequent with worldwide distribution leading to detrimental economical losses, as a ...
Lamya Rhayat +9 more
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Applied and Computational Harmonic Analysis, 2019 Non-linear manifold learning enables high-dimensional data analysis, but requires out-of-sample-extension methods to process new data points. In this paper, we propose a manifold learning algorithm based on deep learning to create an encoder, which maps a high-dimensional dataset and its low-dimensional embedding, and a decoder, which takes the ...
Gal Mishne +3 more
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Natural Fibre-Reinforced Biofoams
International Journal of Polymer Science, 2011 Starches and polylactic acids (PLAs) represent the main biobased and biodegradable polymers with potential industrial availability in the next decades for “bio” foams applications.
Anne Bergeret, Jean Charles Benezet
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Reaction-diffusion processes with nonlinear diffusion [PDF]
Physical Review E, 2012 We study reaction-diffusion processes with concentration-dependent diffusivity. First, we determine the decay of the concentration in the single-species and two-species diffusion-controlled annihilation processes. We then consider two natural inhomogeneous realizations.
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