Results 21 to 30 of about 59,031 (278)
Robust PPG Peak Detection Using Dilated Convolutional Neural Networks
Accurate peak determination from noise-corrupted photoplethysmogram (PPG) signal is the basis for further analysis of physiological quantities such as heart rate.
Kianoosh Kazemi +4 more
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CONVOLUTION OF FUNCTIONS WITH FREE NORMALIZATION
Let \(\mathcal H\) denote the class of functions which are regular in the unit disc \(\Delta =\{z: |z|
Piejko, Krzysztof, Stankiewicz, Jan
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On a surprising relation between the Marchenko-Pastur law, rectangular and square free convolutions [PDF]
n this paper, we prove a result linking the square and the rectangular R-transforms, the consequence of which is a surprising relation between the square and rectangular versions the free additive convolutions, involving the Marchenko-Pastur law ...
Benaych-Georges, Florent
core +6 more sources
Online knowledge distillation network for single image dehazing
Single image dehazing, as a key prerequisite of high-level computer vision tasks, catches more and more attentions. Traditional model-based methods recover haze-free images via atmospheric scattering model, which achieve favorable dehazing effect but ...
Yunwei Lan +7 more
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On bi-free multiplicative convolution [PDF]
This is the final version of the paper, which will be published in Studia ...
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Next-to-leading power endpoint factorization and resummation for off-diagonal “gluon” thrust
The lack of convergence of the convolution integrals appearing in next-to-leading-power (NLP) factorization theorems prevents the applications of existing methods to resum power-suppressed large logarithmic corrections in collider physics.
M. Beneke +6 more
doaj +1 more source
Most scene segmentation and categorization architectures for the extraction of features in images and patches make exhaustive use of 2D convolution operations for template matching, template search and denoising.
Clément eFarabet +8 more
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STENCIL-NET for equation-free forecasting from data
We present an artificial neural network architecture, termed STENCIL-NET, for equation-free forecasting of spatiotemporal dynamics from data. STENCIL-NET works by learning a discrete propagator that is able to reproduce the spatiotemporal dynamics of the
Suryanarayana Maddu +4 more
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Massless picture, massive picture, and symmetry in the Gaussian renormalization group [PDF]
We consider renormalization groups of transformations composed of a Gaussian convolution and a field dilatation. As an example, we consider perturbations of a single component real Euclidean free field $\phi$ with covariance $(-\bigtriangleup)^{-1+\frac{\
Wieczerkowski, Christian
core +2 more sources
Free Convolution Powers Via Roots of Polynomials [PDF]
Let $μ$ be a compactly supported probability measure on the real line. Bercovici-Voiculescu and Nica-Speicher proved the existence of a free convolution power $μ^{\boxplus k}$ for any real $k \geq 1$. The purpose of this short note is to give an elementary description of $μ^{\boxplus k}$ in terms of of polynomials and roots of their derivatives.
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