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Titlebook: Computer Analysis of Images and Patterns; 18th International C Mario Vento,Gennaro Percannella Conference proceedings 2019 Springer Nature

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樓主: brachytherapy
31#
發(fā)表于 2025-3-26 22:54:30 | 只看該作者
32#
發(fā)表于 2025-3-27 01:35:56 | 只看該作者
Toward New Spherical Harmonic Shannon Entropy for Surface Modeling the optimal reconstruction order that best represent the initial surface. This paper proposed a new spherical harmonics shannon-type entropy to optimize reconstruction and to provide an accurate and efficient evaluation method of the reconstruction order.
33#
發(fā)表于 2025-3-27 05:41:36 | 只看該作者
Challenges and Methods of Violence Detection in Surveillance Video: A Surveylassify the methods into five broad categories. We discuss each category and present the main techniques that proposed improvements as well as some performance measures using public datasets to evaluate the different existing techniques of violence detection.
34#
發(fā)表于 2025-3-27 12:18:30 | 只看該作者
Binary Code for the Compact Palmprint Representation Using Texture Featuresxperiments performed on the benchmark PolyU palmprint database. Moreover, the reported results show that the obtained accuracy appears to be hardly dependent on the number of enrolled samples. The proposed representation may be extremely useful in real life applications because of its compactness and effectiveness.
35#
發(fā)表于 2025-3-27 13:51:30 | 只看該作者
36#
發(fā)表于 2025-3-27 18:15:51 | 只看該作者
https://doi.org/10.1007/BFb0096231ults in terms of accuracy and also reduce the overall epistemic uncertainty. To summarize, in this paper we propose a class-conditional data augmentation procedure that allows us to obtain better results and improve robustness of the classification in the face of model uncertainty.
37#
發(fā)表于 2025-3-27 22:12:06 | 只看該作者
Hybrid Function Sparse Representation Towards Image Super Resolution the results. In addition, a reconstruct strategy is adopted to deal with the overlaps. The experiments on ‘Set14’ SR dataset show that our method has an excellent performance particularly with regards to images containing rich details and contexts compared with non-learning based state-of-the art methods.
38#
發(fā)表于 2025-3-28 05:49:14 | 只看該作者
39#
發(fā)表于 2025-3-28 07:01:38 | 只看該作者
40#
發(fā)表于 2025-3-28 14:01:15 | 只看該作者
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