MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This achievement proposes a ...
Radiopharmaceutical therapy (RPT) offers molecular-targeted treatment strategies and presents an ideal model for advancing ...
Abstract: To improve the accuracy of network attack detection, recent work has proposed deep learning (DL) based detectors. Nonetheless, conventional DL-based solutions are computation-intensive and ...
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
As avid puzzlers know full well, the humble jigsaw puzzle is a thing of beauty in multiple ways. Not only are jigsaws an absorbing time sink, but multiple studies have demonstrated they are good for ...
Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.
Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...
This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...
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