Results 11 to 20 of about 28,771 (260)
Urban Remote Sensing Scene Recognition Based on Lightweight Convolution Neural Network
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
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It is assumed that linear time-invariant (LTI) system input signal samples are updated by a sensor in real time. It is urgent for every new input sample or for small part of new samples to update an ordinary convolution as well.
Rimantas Pupeikis
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EFFICIENT LINE DETECTION METHOD BASED ON 2D CONVOLUTION FILTER
The article proposes an efficient line detection method using a 2D convolution filter. The proposed method was compared with the Hough transform, the most popular method of straight lines detection. The developed method is suitable for local detection of
Paweł Kowalski, Piotr Tojza
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Eisenstein series and convolution sums [PDF]
14 ...
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Evaluation of the convolution sums ∑al+bm=n lσ(l) σ(m) with ab ≤ 9
The generating functions of divisor functions are quasimodular forms of weight 2 and their products belong to a space of quasimodular forms of higher weight.
Park Yoon Kyung
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DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces
Convolution helps spiking neural networks (SNNs) capture the spatio-temporal structures of neuromorphic (event) data as evident in the convolution-based SNNs (C-SNNs) with the state-of-the-art classification-accuracies on various datasets.
Donghyung Yoo, Doo Seok Jeong
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A sieve method for shifted convolution sums [PDF]
To appear in Duke Math. J.
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On the solution of the convolution equation with a sum-difference kernel
The paper deals with the integral equations of the second kind with a sumdifference kernel. These equations describe a series of physical processes in a medium with a reflective boundary.
Ani G Barseghyan
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Fusion of Panchromatic and Multispectral Images Using Multiscale Convolution Sparse Decomposition
In this article, we proposed a novel image fusion method based on multiscale convolution sparse decomposition (MCSD). A unified framework based on MCSD is first utilized to decompose panchromatic (PAN) image and the spatial component of upsampled low ...
Kai Zhang +4 more
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Asymptotic behavior of solutions of discrete Volterra equations [PDF]
We consider the nonlinear discrete Volterra equations of non-convolution type \[\Delta^m x_n=b_n+\sum\limits_{i=1}^{n}K(n,i)f\left(i,x_i\right), \quad n\geq 1.\] We present sufficient conditions for the existence of solutions with prescribed asymptotic ...
Janusz Migda, Małgorzata Migda
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