On the subexponentiality of the ridgelet transform
Comptes Rendus. Mathématique, 2014 We show that we can consider the ridgelet transform for Wiener functionals as a subexponential random variable. We give an application of this result to random walks.
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Ridgelet-type Frame Decompositions for Sobolev Spaces related to Linear Transport [PDF]
, 2018 In this paper we study stability properties of ridgelet and curvelet frames for mixed-smoothness Sobolev spaces with norm $\|f\|_{s} = \|f\|_{L_{2}(\mathbb{R}^{d})} +\|s\cdot\nabla f\|_{L_{2}(\mathbb{R}^{d})}$ .
Grohs, P.
core
Scale Invariant Interest Points with Shearlets
, 2016 Shearlets are a relatively new directional multi-scale framework for signal analysis, which have been shown effective to enhance signal discontinuities such as edges and corners at multiple scales.
De Vito, Ernesto +3 more
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Multi-scale analysis of the roughness effect on lubricated rough contact [PDF]
, 2014 Determining friction is as equally essential as determining the film thickness in the lubricated contact, and is an important research subject. Indeed, reduction of friction in the automotive industry is important for both the minimization of fuel ...
DEMIRCI, Ibrahim
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Extraction of Face Features Using Various Techniques [PDF]
, 2014 This thesis aims at devising a novel method of feature extraction of face images which proves to be faster and more accurate than the existing methods defined by wavelet, curvelet and ridgelet transforms.
Biswal, Shruti
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Nonparametric Weight Initialization of Neural Networks via Integral Representation [PDF]
, 2014 A new initialization method for hidden parameters in a neural network is proposed. Derived from the integral representation of the neural network, a nonparametric probability distribution of hidden parameters is introduced.
Murata, Noboru, Sonoda, Sho
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Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19. [PDF]
J Med Signals Sens, 2023 Aghazadeh N, Moradi P, Noras P.
europepmc +1 more source
Underwater Target Detection Utilizing Polarization Image Fusion Algorithm Based on Unsupervised Learning and Attention Mechanism. [PDF]
Sensors (Basel), 2023 Cheng H, Zhang D, Zhu J, Yu H, Chu J.
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High-fidelity, accelerated whole-brain submillimeter in vivo diffusion MRI using gSlider-spherical ridgelets (gSlider-SR). [PDF]
Magn Reson Med, 2020 Ramos-Llordén G +6 more
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The developmental relationship between teeth and dermal odontodes in the most primitive bony fish Lophosteus. [PDF]
Elife, 2020 Chen D +5 more
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