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Обнаружение объектов на изображении с использованием сверточных нейронных сетей
Верхов, К. А.
of convolutional neural networks are considered. The layers that make up the convolutional neural network
Convolution Type Operators With Potential: Essential and Infinite Discrete Spectrum
Borisov D., Piatnitski A., Zhizhina E.
The goal of this note is to study the spectrum of a self-adjoint convolution operator in (Formula
Locally Explicit Fundamental Principle for Homogeneous Convolution Equations
Vidras, Alekos, Видрас, Алекос
of homogeneous convolution equations f μ j = 0, j = 1; : : : ;m, f ∈ E(Rⁿ), μ j ∈ E′(Rⁿ), is derived, when
ON ESTIMATES OF CONVOLUTIONS IN NIKOLSKII-BESOV SPACES
BATYROV B.E., BURENKOV V.I.
ON ESTIMATES OF CONVOLUTIONS IN NIKOLSKII-BESOV SPACES
Young’s inequality for convolutions in Morrey-type spaces
Burenkov V.I., Tararykova T.V.
Young’s inequality for convolutions in Morrey-type spaces
Exact convoluted solutions in higher-dimensional Einstein-Maxwell theory
Ghezelbash A.M.
Exact convoluted solutions in higher-dimensional Einstein-Maxwell theory
Gradient models of the axion-photon coupling
Balakin A., Bochkarev V., Tarasova N.
into the Lagrangian cross-terms, which contain the gradient four-vector of the pseudoscalar (axion) field
On a class of convolution equations in D'+ (R)
Salekhov L., Chebotareva E.
-dierentiation oper- ators is considered by the distribution convolution algebra with supports on the nonnegative real
ESTIMATES FOR DECREASING REARRANGEMENTS OF CONVOLUTION AND COVERINGS OF CONES
Goldman Mikhail L.
Abstract In the paper, we obtain lower estimates for decreasing rearrangements of the convolutions
Estimation of the uniform modulus of continuity of the generalized Bessel potential
Goldman M.L., Malysheva A.V.
We study generalized Bessel potentials constructed by means of convolutions of functions

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