Results 21 to 30 of about 112,175 (269)
LSTM-CNN Architecture for Human Activity Recognition
IEEE Access, 2020 In the past years, traditional pattern recognition methods have made great progress. However, these methods rely heavily on manual feature extraction, which may hinder the generalization model performance.
Kun Xia, Jianguang Huang, Hanyu Wang
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Two Convolution Transforms which are Inverted by Convolutions [PDF]
Proceedings of the American Mathematical Society, 1963 Abstract : Mathematical research concerning the inversion of a convolution transform in which the kernel is a Legendre polynomial is presented. Classes of integral equations of the sort studied here arise in the determination of solutions of certain velocity-potential problems in aerodynamics. (Author)
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Convergence of random walks on double transitive group generated by its permutational character
Visnik Harkivsʹkogo Nacionalʹnogo Universitetu im. V.N. Karazina. Cepiâ Matematika, Prikladna Matematika i Mehanika, 2019 Let $P$ be a probability on a finite group $G$, $U(g)=\frac{1}{|G|}$ the uniform (trivial) probability on the group $G$, $P^{(n)}=P *\ldots*P$ an $n$-fold convolution of $P$.
Aleksandr L. Vyshnevetskiy
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On an Arithmetic Convolution [PDF]
Canadian Mathematical Bulletin, 1977 In this paper the congruence (f ∘ g)(n) = 0 (mod n) and the functional equation f ∘ f ∘ … ∘ f = g, are studied, where ∘ is an exponential regular convolution.
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CoRR, 2021 As the deep neural networks are being applied to complex tasks, the size of the networks and architecture increases and their topology becomes more complicated too. At the same time, training becomes slow and at some instances inefficient. This motivated the introduction of various normalization techniques such as Batch Normalization and Layer ...
Massimiliano Esposito, Nader Ganaba
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SDAUNet: A simple dual attention mechanism UNet for mixed noise removal
IET Image Processing, 2023 Convolutional neural networks (CNNs) have demonstrated impressive results in additive white Gaussian noise removal due to their strong fitting ability.
Jielin Jiang +4 more
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Convolutional Neural Networks In Convolution
CoRR, 2018 Currently, increasingly deeper neural networks have been applied to improve their accuracy. In contrast, We propose a novel wider Convolutional Neural Networks (CNN) architecture, motivated by the Multi-column Deep Neural Networks and the Network In Network(NIN), aiming for higher accuracy without input data transmutation.
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IEEE AccessGlobally, breast cancer is the second most lethal form of cancer among women, and has high rates of incidence and mortality. Early detection is crucial in improving survival rates.
Lekha S. Nair +2 more
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Turkish Lira Banknote Classification using Transfer Learning and Deep Learning
Acta InfologicaWith the increasing exchange of foreign currencies due to globalization, there is a need for systems that can recognize and validate multiple currencies in real time.
Mirsat Yeşiltepe +2 more
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Coefficient problem for certain subclasses of bi-univalent functions defined by convolution [PDF]
Mathematica Moravica, 2016 In this paper, we consider a general subclass HλΣ (h, β) of bi-univalent functions. Bounds on the first two coefficients اa2ا and اa3ا for functions in HλΣ (h, β) are given. The main results generalize and improve a recent one obtained by Srivastava [18].
Altınkaya Sahsene, Yalçın Sibel
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