Results 281 to 290 of about 163,100 (319)
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Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2002
Below a new kind of convolution is introduced for probability measures, whose combinatorics is related to non-crossing partitions without inner blocks other than singletons — the partitions corresponding to the fermionic creation and annihilation operators and Pauli's principle.
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Below a new kind of convolution is introduced for probability measures, whose combinatorics is related to non-crossing partitions without inner blocks other than singletons — the partitions corresponding to the fermionic creation and annihilation operators and Pauli's principle.
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Algebra Colloquium, 2006
The notion of a convolution type is introduced. Imposing such a type on a ring gives the corresponding convolution ring. Under this umbrella, a wide variety of ring constructions can be covered, including polynomials, matrices, incidence algebras, necklace rings, group rings and quaternion rings.
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The notion of a convolution type is introduced. Imposing such a type on a ring gives the corresponding convolution ring. Under this umbrella, a wide variety of ring constructions can be covered, including polynomials, matrices, incidence algebras, necklace rings, group rings and quaternion rings.
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IEEE Transactions on Computers, 1980
A special purpose computer is described to evaluate the discrete convolution of two sequences of numbers. This computer abandons the traditional model of convolution as a series of inner products which, for input sequences of length n, requires n multipliers and (n - 1) adders to complete a convolution calculation in (2n - 1) time steps. Instead, it is
Richard W. Heuft, Warren D. Little
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A special purpose computer is described to evaluate the discrete convolution of two sequences of numbers. This computer abandons the traditional model of convolution as a series of inner products which, for input sequences of length n, requires n multipliers and (n - 1) adders to complete a convolution calculation in (2n - 1) time steps. Instead, it is
Richard W. Heuft, Warren D. Little
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Convolution and Trimming via Convolution
2012What is Trimming? It is identical to convolution in results. Then what are differences? Convolution occurs in a technical system as a phenomenon; it is part of TS evolutionary wave. Trimming is a methodology purposefully applied to a TS to increase its ideality by achieving specific gain in MUF and/or to decrease one or all of M, D, or E from MDE by a ...
Saurabh Kwatra, Yuri Salamatov
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Journal of Pediatric Health Care, 2007
1. What differentials should be considered in this case? The list of differential diagnoses for vomiting in children is considerable and beyond the scope of this article. Possibilities should be included or excluded based on careful history and examination, other temporal associations (i.e., K.
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1. What differentials should be considered in this case? The list of differential diagnoses for vomiting in children is considerable and beyond the scope of this article. Possibilities should be included or excluded based on careful history and examination, other temporal associations (i.e., K.
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Coupled convolution layer for convolutional neural network
Neural Networks, 2016We propose a coupled convolution layer comprising multiple parallel convolutions with mutually constrained filters. Inspired by biological human vision mechanism, we constrain the convolution filters such that one set of filter weights should be geometrically rotated, mirrored, or be the negative of the other.
Kazutaka Uchida +2 more
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The Arithmetic of Convolutions, Scale Mixtures, and Convolution Mixtures
Journal of Mathematical Sciences, 2004The aim of this paper is to review and rewrite the basic properties of convolution, scale mixtures, and convolution mixtures of distributions as elementary algebraic operations. Within this formal arithmetic framework, the achievement of the paper is to derive and to retrieve known results, some of them in special conditions (e.g.
Mazurkiewicz, G. +2 more
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Fast Convolution Algorithm for Convolutional Neural Networks
2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019Recent advances in computing power made possible by developments of faster general-purpose graphics processing units (GPGPUs) have increased the complexity of convolutional neural network (CNN) models. However, because of the limited applications of the existing GPGPUs, CNN accelerators are becoming more important.
Tae-Sun Kim +2 more
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Applied Mathematics and Computation, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Canadian Mathematical Bulletin, 1966
Let A be the set of all functions from N, the natural numbers, to C the field of complex numbers. The Dirichlet product of elements f, g of A is given bywhere the summation condition means sum over all positive integers d which divide n.
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Let A be the set of all functions from N, the natural numbers, to C the field of complex numbers. The Dirichlet product of elements f, g of A is given bywhere the summation condition means sum over all positive integers d which divide n.
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