Results 11 to 20 of about 99,331 (262)
Singular measures and convolution operators [PDF]
We show that in the study of certain convolution operators, functions can be replaced by measures without changing the size of the constants appearing in weak type (1,1) inequalities.
Aldaz +8 more
core +5 more sources
DSConv: Efficient Convolution Operator [PDF]
Quantization is a popular way of increasing the speed and lowering the memory usage of Convolution Neural Networks (CNNs). When labelled training data is available, network weights and activations have successfully been quantized down to 1-bit. The same cannot be said about the scenario when labelled training data is not available, e.g. when quantizing
Nascimento, Marcelo Gennari Do +2 more
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On Convolution Dominated Operators [PDF]
22pages, to appear in Integral Equations and Operator ...
Fendler, Gero, Leinert, Michael
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Spectral Approximation of Convolution Operators [PDF]
21 ...
Kuan Xu, Ana F. Loureiro
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Optimized Separable Convolution: Yet Another Efficient Convolution Operator
عملية الالتفاف هي العنصر الأكثر أهمية في الموجة الأخيرة من أبحاث التعلم العميق. يحتاج الالتفاف ثنائي الأبعاد التقليدي إلى معلمات O(C2K2) لتمثيلها، حيث C هو حجم القناة و K هو حجم النواة. أصبح مقدار المعلمات مكلفًا حقًا بالنظر إلى أن هذه المعلمات زادت بشكل كبير مؤخرًا لتلبية احتياجات التطبيقات الصعبة.
Tao Wei +4 more
openaire +3 more sources
Matrix valued p-convolution operators [PDF]
Let \(G\) be a locally compact group with Haar measure, and let \(M_n\) be the set of \(n \times n\) matrices, with the \(C^{\ast}\)-norm, over the complex numbers. Throughout this review \(p\) will denote a real number strictly greater than one. We will write \(L^p(G, M_n)\) to indicate the space of \(p\)-integrable functions from \(G\) into \(M_n ...
Ebadian, Ali, Jabbari, Ali
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The authors have previously studied two - dimensional Fredholm integral operators with homogeneous kernels of fiber - singular type. For this class of operators, the symbolic calculus is built using the theory of biloc al operators by V.
Vladimir Mikhaylovich Deundyak +1 more
doaj +1 more source
The Dunkl convolution operators and multipoint de la Vallee–Poussin problem
The Dunkl operator as an object of mathematical physics is considered, we study the kernel and the surjectivity of Dunkl convolution operators in the space of entire functions and the space of entire functions of exponential type.
Karina Raisovna Zabirova +1 more
doaj +1 more source
Repository for the paper Convolutional Neural Operators for robust and accurate learning of ...
openaire +2 more sources
The gyrator transform (GT) is used for images processing in applications of light propagation. We propose new image processing operators based on the GT, these operators are: Generalized shift, convolution and correlation.
Ronal A. Perez +2 more
doaj +1 more source

