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Efficient Sum-Check Protocol for Convolution [PDF]

open access: yesIEEE Access, 2021
Many applications have recently adopted machine learning and deep learning techniques. Convolutional neural networks (CNNs) are made up of sequential operations including activation, pooling, convolution, and fully connected layer, and their computation ...
Chanyang Ju   +4 more
doaj   +2 more sources

The multinomial convolution sum of a generalized divisor function

open access: yesOpen Mathematics, 2022
The main theorem of this article is to evaluate and express the multinomial convolution sum of the divisor function σr♯(n;N/4,N){\sigma }_{r}^{\sharp }\left(n;\hspace{0.33em}N\hspace{-0.08em}\text{/}\hspace{-0.08em}4,N) in as a simple form as possible ...
Park Ho
doaj   +2 more sources

Evaluation of the convolution sum involving the sum of divisors function for 22, 44 and 52

open access: yesOpen Mathematics, 2017
The convolution sum, ∑(l,m)∈N02αl+βm=nσ(l)σ(m), $ \begin{array}{} \sum\limits_{{(l\, ,m)\in \mathbb{N}_{0}^{2}}\atop{\alpha \,l+\beta\, m=n}} \sigma(l)\sigma(m), \end{array} $ where αβ = 22, 44, 52, is evaluated for all natural numbers n. Modular forms
Ntienjem Ebénézer
doaj   +2 more sources

Gradient-Controlled Gaussian Kernel for Image Inpainting [PDF]

open access: yesAUT Journal of Electrical Engineering, 2023
Image inpainting is the process of filling in damaged or missing regions in an image by using information from known regions or known pixels of the image. One of the most important techniques for inpainting is convolution-based methods, in which a kernel
Hossein Noori
doaj   +1 more source

Efficient algorithms for calculating the probability distribution of the sum of hypergeometric-distributed random variables

open access: yesMethodsX, 2021
In probability theory and statistics, the probability distribution of the sum of two or more independent and identically distributed (i.i.d.) random variables is the convolution of their individual distributions.
Arne Johannssen   +2 more
doaj   +1 more source

Speed of convergence of complementary probabilities on finite group

open access: yesVisnik Harkivsʹkogo Nacionalʹnogo Universitetu im. V.N. Karazina. Cepiâ Matematika, Prikladna Matematika i Mehanika, 2021
Let function P be a probability on a finite group G, i.e. $P(g)\geq0\ $ $(g\in G),\ \sum\limits_{g}P(g)=1$ (we write $\sum\limits_{g}$ instead of $\sum\limits_{g\in G})$.
Alexander Vyshnevetskiy
doaj   +1 more source

Application of the Stacked Refraction Convolution Section to 2D Ocean Bottom Seismometer Wide-angle Seismic Data Along the Tamayo Through Basin, Gulf of California

open access: yesFrontiers in Earth Science, 2021
The stacked refraction convolution section can be used as an interpretation tool in wide-angle refraction seismic data generated by air gun shooting and recorded by Ocean Bottom Seismometers (OBS).
Antonio González-Fernández
doaj   +1 more source

Computation of the Distribution of the Sum of Independent Negative Binomial Random Variables

open access: yesMathematical and Computational Applications, 2023
The distribution of the sum of negative binomial random variables has a special role in insurance mathematics, actuarial sciences, and ecology. Two methods to estimate this distribution have been published: a finite-sum exact expression and a series ...
Marc Girondot, Jon Barry
doaj   +1 more source

A Novel Hybrid Algorithm for Transient Near-Field Scattering from Rough Surface in 2-D Case

open access: yesInternational Journal of Antennas and Propagation, 2021
A novel hybrid algorithm is proposed to reduce the computation cost of the finite-difference time-domain (FDTD) method in calculating the transient near-field scattering from rough surface.
Wei Tian, Bing Wei, Qian Yang
doaj   +1 more source

Urban Remote Sensing Scene Recognition Based on Lightweight Convolution Neural Network

open access: yesIEEE Access, 2021
The use rate of urban land is a significant sign to evaluate urban construction, and scene recognition has important application value in improving urban land use rate. In this paper, a new lightweight model based on VGG16 is proposed to extract distinct
Jingming Xia, Yue Ding, Ling Tan
doaj   +1 more source

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