Results 41 to 50 of about 1,031,506 (314)
Certain Properties of Harmonic Functions Defined by a Second-Order Differential Inequality
The Theory of Complex Functions has been studied by many scientists and its application area has become a very wide subject. Harmonic functions play a crucial role in various fields of mathematics, physics, engineering, and other scientific disciplines ...
Daniel Breaz +4 more
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms [PDF]
In NLP, convolutional neural networks (CNNs) have benefited less than recurrent neural networks (RNNs) from attention mechanisms. We hypothesize that this is because the attention in CNNs has been mainly implemented as attentive pooling (i.e., it is ...
Schütze, Hinrich, Yin, Wenpeng
core +2 more sources
Generalized transforms and convolutions
In this paper, using the concept of a generalized Feynman integral, we define a generalized Fourier-Feynman transform and a generalized convolution product.
Timothy Huffman +2 more
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The Hartley transform is a mathematical transformation which is closely related to the better known Fourier transform. The properties that differentiate the Hartley Transform from its Fourier counterpart are that the forward and the inverse transforms ...
Ioannis Paraskevas +2 more
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Convolution of Lorentz Invariant Ultradistributions and Field Theory [PDF]
In this work, a general definition of convolution between two arbitrary four dimensional Lorentz invariant (fdLi) Tempered Ultradistributions is given, in both: Minkowskian and Euclidean Space (Spherically symmetric tempered ultradistributions).
Bollini, C. G., Rocca, M. C.
core +2 more sources
LSTM-CNN Architecture for Human Activity Recognition
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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Frequency-Adaptive Dilated Convolution for Semantic Segmentation [PDF]
Dilated convolution, which expands the receptive field by inserting gaps between its consecutive elements, is widely employed in computer vision. In this study, we propose three strategies to improve individual phases of dilated convolution from the ...
Linwei Chen, Lin Gu, Ying Fu
semanticscholar +1 more source
Topological convolution algebras [PDF]
In this paper we introduce a new family of topological convolution algebras of the form $\bigcup_{p\in\mathbb N} L_2(S,\mu_p)$, where $S$ is a Borel semi-group in a locally compact group $G$, which carries an inequality of the type $\|f*g\|_p\le A_{p,q}\|
Alpay, Daniel, Salomon, Guy
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Convergence of random walks on double transitive group generated by its permutational character
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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