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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Rafa? Ablamowicz,Pertti Lounestossical chaotic system Logistic map, Tent map and Henon map, it requires almost the same or even less resources as the one-dimensional chaotic system. The experimental results show that the new four-dimensional discrete chaotic system is more suitable for S-box masking in FPGA.

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Clifford Algebras and Lie Theoryof depth estimation. We conducted extensive experiments on two of the most popular datasets for depth estimation, NYUD-V2 and KITTI, demonstrating the effectiveness of our method and having highly competitive performance on these two datasets.

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https://doi.org/10.1007/978-1-4612-1374-1nd local pseudo-voxel features back to the regular space. Finally, the graph and pseudo-voxel features are fused with the actual voxel feature in the regular space. Extensive experiments on the KITTI dataset show that our proposed GVFNet produces significant performance in 3D object detection.

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On Quaternionic Beltrami Equationstion embeddings can reduce the computation of the network. Experiments demonstrate that our proposed model outperforms the state-of-the-art (SOTA) baselines on public benchmarks with higher efficiency and performance.

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