Titlebook: Advances in Intelligent Information Hiding and Multimedia Signal Processing; Proceeding of the 18 Kazuhiro Kondo,Mong-Fong Horng,Pei Hu Con

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Progress in Mathematical Physicsata sets is Cumbersome, and it is easy to produce huge errors, which has also become a bottleneck in the development of computer vision. In this paper, video prediction has become a secret medicine to solve the bottleneck of the development of computer vision technology. The essence of video predict

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https://doi.org/10.1007/978-1-4612-1374-1 and irregularity of the point cloud, the former changes the original structure, and the latter ignores the geometric information between points. With this in mind, this paper proposes a novel feature extraction method named Graph-Voxel Fusion Network (GVFNet), fusing both graph and voxel features.

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On Quaternionic Beltrami Equationsk for building knowledge graphs (KG). However, a traditional method of extracting triples obtains many challenges, especially for the overlapping triples problem. In this paper, we propose a relation extraction model based on a global pointer network and potential relation embedding called GPPR. Unl

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https://doi.org/10.1007/978-981-99-0105-0Information Hiding; Multimedia; Signal Processing; Network Security; Big Data; Cryptography and Cryptanal

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Crumeyrolle’s Bivectors and Spinorsthe target will overflow the screen in the setting number of frames, that is, the target’s lifetime, salience model is used to extract the most prominent position of the target to update the template, in order to ensure that the template has a good response to the target and ensure the stability of target tracking.

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