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An infrared night vision image enhancement algorithm based on cross-level feature fusion. [PDF]
Wang X.
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Lightweight Vision-Transformer Network for Early Insect Pest Identification in Greenhouse Agricultural Environments. [PDF]
Hong W +6 more
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An Automatic Detection Model for Low-Contrast Discrete Defects on Aluminum Alloy Wheels. [PDF]
Yang J, Chen P, Wang M.
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Design of a Portable Nondestructive Instrument for Apple Watercore Grade Classification Based on 1DQCNN and Vis/NIR Spectroscopy. [PDF]
Wu H +8 more
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Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition. [PDF]
Wei D, Hu H, Ma GF.
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CDSE-UNet: Enhancing COVID-19 CT Image Segmentation With Canny Edge Detection and Dual-Path SENet Feature Fusion. [PDF]
Ding J, Chang J, Han R, Yang L.
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Hadamard–Bergman Convolution Operators
Complex Analysis and Operator Theory, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Karapetyants, Alexey, Samko, Stefan
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Hyperbolic Convolution Operators
Canadian Journal of Mathematics, 1965Hyperbolic differential operators with constant coefficients introduced and studied systematically by Gårding (4), were characterized by the existence of the fundamental solution with some cone condition, according to Hörmander (6). Recently Ehrenpreis, extending the notion of hyperbolicity due to Gårding, has defined hyperbolic operators for ...
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SIAM Journal on Mathematical Analysis, 1972
Let $\Omega $ be an open set in $R_n $ and let $\mathcal{E}(\Omega )$ denote the space of infinitely differentiable functions on $\Omega $. Necessary and sufficient conditions are exhibited for a family $\{ \Omega _i \} _{i = 1}^N $ of open sets in $R_n$ and a family $\{ S_i \} _{i = 1}^N \subset \mathcal{E}'(R_n )$ in order that the convolution ...
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Let $\Omega $ be an open set in $R_n $ and let $\mathcal{E}(\Omega )$ denote the space of infinitely differentiable functions on $\Omega $. Necessary and sufficient conditions are exhibited for a family $\{ \Omega _i \} _{i = 1}^N $ of open sets in $R_n$ and a family $\{ S_i \} _{i = 1}^N \subset \mathcal{E}'(R_n )$ in order that the convolution ...
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