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Titlebook: Handwriting Recognition; Soft Computing and P Zhi-Qiang Liu,Jinhai Cai,Richard Buse Book 2003 Springer-Verlag Berlin Heidelberg 2003 Markov

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21#
發(fā)表于 2025-3-25 06:26:20 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard BuseMNPs) with superparamagnetic behavior generate mild-temperatures under an AC magnetic field to selectively destroy the abnormal cancer cells, in detriment of the healthy ones. However, the poor heating efficiency of most NMPs and the imprecise experimental determination of the temperature field duri
22#
發(fā)表于 2025-3-25 10:12:40 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Buseregistration with sub-pixel accuracy, and is fairly robust to noise and long translations. However, there are also cases when the images to be aligned were taken at different times or come from different sensors, and may present differences in intensity values or illumination. Many algorithms exist
23#
發(fā)表于 2025-3-25 12:34:53 | 只看該作者
24#
發(fā)表于 2025-3-25 18:49:42 | 只看該作者
25#
發(fā)表于 2025-3-25 20:15:29 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Busedetermine the parameters of the camera in order to build the viewing transform, as well as to reconstruct the geometry of the SOR using the silhouette. In addition to individual image analyses, it can use the data extracted from the same SOR viewed from different directions to produce a single, comp
26#
發(fā)表于 2025-3-26 00:30:52 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Busedetermine the parameters of the camera in order to build the viewing transform, as well as to reconstruct the geometry of the SOR using the silhouette. In addition to individual image analyses, it can use the data extracted from the same SOR viewed from different directions to produce a single, comp
27#
發(fā)表于 2025-3-26 07:59:23 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Busewith the final goal of minimizing the risk of damages and thus, to reduce the need of restorations. In this work, we propose a probabilistic approach for analyzing alterations appearing on varnished wooden surfaces (such as those of historical violins) based on an a-contrario framework. Our method w
28#
發(fā)表于 2025-3-26 12:22:34 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Buses a deep learning convolutional neural network model that can identify 12 hand signs and the absences of a hand sign directly from pixels both quickly and effectively. Such a model would be useful for automated Solfège assessment in educational environments, as well as, providing a novel human compu
29#
發(fā)表于 2025-3-26 14:22:47 | 只看該作者
30#
發(fā)表于 2025-3-26 17:36:52 | 只看該作者
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