Results 11 to 20 of about 15,576,713 (334)
Occurrence frequency of subcritical Richardson numbers assessed by global high-resolution radiosonde and ERA5 reanalysis [PDF]
Atmospheric Chemistry and Physics, 2023 Kelvin–Helmholtz instability (KHI) is most likely to be the primary source for clear-air turbulence, which is of importance in pollution transfer and diffusion and aircraft safety. It is indicated by the critical value of the dimensionless Richardson (Ri)
J. Shao +6 more
doaj +1 more source
Intrinsic Image Transformation via Scale Space Decomposition [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We introduce a new network structure for decomposing an image into its intrinsic albedo and shading. We treat it as an image-to-image transformation problem and explore the scale space of the input and output.
Lechao Cheng +2 more
semanticscholar +1 more source
Large scale rank of Teichmuller space [PDF]
, 2014 Let X be quasi-isometric to either the mapping class group equipped with the word metric, or to Teichmuller space equipped with either the Teichmuller metric or the Weil-Petersson metric.
Eskin, Alex, Masur, Howard, Rafi, Kasra
core +1 more source
Results in Physics, 2023 The combination of high-permeability ferrite and coils is often used to nullify ambient magnetic fields and is widely used in applications such as magnetic resonance imaging and high-sensitivity magnetic sensors.
Kun Wang +6 more
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Randaugment: Practical automated data augmentation with a reduced search space [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Recent work on automated augmentation strategies has led to state-of-the-art results in image classification and object detection. An obstacle to a large-scale adoption of these methods is that they require a separate and expensive search phase. A common
E. D. Cubuk +3 more
semanticscholar +1 more source
Attribution in Scale and Space [PDF]
Computer Vision and Pattern Recognition, 2020 We study the attribution problem for deep networks applied to perception tasks. For vision tasks, attribution techniques attribute the prediction of a network to the pixels of the input image.
Shawn Xu +2 more
semanticscholar +1 more source
Non-Abelian gauge field theory in scale relativity [PDF]
, 2006 Gauge field theory is developed in the framework of scale relativity. In this theory, space-time is described as a non-differentiable continuum, which implies it is fractal, i.e., explicitly dependent on internal scale variables.
Célérier M. N. +10 more
core +6 more sources
Molecules, 2021 In this work, spherical flower-shaped composite carbonyl iron powder@MnO2 (CIP@MnO2) with CIP as the core and ultrathin MnO2 nanosheets as the shell was successfully prepared by a simple redox reaction to improve oxidation resistance and electromagnetic ...
Zhengwei Qu +12 more
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Global Distribution of Persistence of Total Electron Content Anomaly
Atmosphere, 2019 To better understand the ionospheric morphology response to lithospheric activities, we study the global location preference of the positive and negative total electron content (TEC) anomalies persisting continuously for longer than 24 h at middle and ...
Yang-Yi Sun +3 more
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IET Image Processing, 2021 An extension of Radon transform by using a measure function capturing the user need is proposed. The new transform, called scale space Radon transform, is devoted to the case where the embedded shape in the image is not filiform.
Djemel Ziou +2 more
doaj +1 more source