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Titlebook: Artificial Intelligence and Mobile Services – AIMS 2019; 8th International Co De‘Wang,Liang-Jie Zhang Conference proceedings 2019 Springer

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樓主: 你太謙虛
31#
發(fā)表于 2025-3-27 00:46:03 | 只看該作者
Domain Knowledge Enhanced Error Correction Service for Intelligent Speech Interaction,ASR) has become a key factor of determining user experience. Due to the influence of environmental noise and the diversity and complexity of natural language, the performance of ASR still cannot meet the requirements of real-world application scenarios. To improve the accuracy of ASR, in this paper,
32#
發(fā)表于 2025-3-27 04:35:14 | 只看該作者
33#
發(fā)表于 2025-3-27 07:55:36 | 只看該作者
34#
發(fā)表于 2025-3-27 10:00:58 | 只看該作者
https://doi.org/10.1007/978-3-642-22474-4 Drift), ICP (Iterative Closest Point), our dynamic inlier selection has better registration effect. In our pork skin dataset, the success rate of registration reached 86.67%, which provided a reference for subsequent pork traceability research.
35#
發(fā)表于 2025-3-27 15:15:08 | 只看該作者
eIoT Activates the Grid Periphery,h from goal to the start node. The new approach eliminates the Closed List which employed for most AI search algorithms to store the explored nodes. The new approach also generates a solution path faster than the respective versions of them and it also use less memory space.
36#
發(fā)表于 2025-3-27 19:05:49 | 只看該作者
37#
發(fā)表于 2025-3-27 22:46:12 | 只看該作者
38#
發(fā)表于 2025-3-28 03:33:18 | 只看該作者
ECGAN: Image Translation with Multi-scale Relativistic Average Discriminator,es using quantitative full reference image quality assessment metrics (such as PSNR, SSIM), we also conduct an evaluation on the Frechet Inception distance (FID), which are more consistent with human subjective assessment according to natural, realistic and diverse. Experiments on two benchmark data
39#
發(fā)表于 2025-3-28 07:44:07 | 只看該作者
40#
發(fā)表于 2025-3-28 12:23:20 | 只看該作者
Indexed Search,h from goal to the start node. The new approach eliminates the Closed List which employed for most AI search algorithms to store the explored nodes. The new approach also generates a solution path faster than the respective versions of them and it also use less memory space.
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