洁净
发表于 2025-3-23 12:47:21
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吹牛需要艺术
发表于 2025-3-23 16:05:34
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倾听
发表于 2025-3-23 22:05:37
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CHIDE
发表于 2025-3-23 22:55:59
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ADOPT
发表于 2025-3-24 04:53:45
Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computerrol, and analysis. Deep learning achieved remarkable results, but remains hard to train in practice. Here, we propose a photonic reservoir computer for recognition of video-based human actions. Our experiment comprises off-the-shelf components and implements an easy-to-train neural network, scalable
防御
发表于 2025-3-24 07:30:07
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Moderate
发表于 2025-3-24 13:52:43
https://doi.org/10.1007/978-3-030-30493-5artificial intelligence; classification; clustering; computer networks; echo state networks; image proces
condemn
发表于 2025-3-24 18:03:32
978-3-030-30492-8Springer Nature Switzerland AG 2019
etiquette
发表于 2025-3-24 19:21:47
https://doi.org/10.1007/978-3-319-68883-1 be extracted from the inertial measurement unit of a mobile phone and introduce a segmentation scheme to distinguish between different gesture classes. The continuous sequences are fed into an Echo State Network, which learns sequential data fast and with good performance. We evaluated our system o
blithe
发表于 2025-3-24 23:59:24
Hua-Xin Peng,Faxiang Qin,Manh-Huong Phane constant temporal patterns. For the short-term component, we used the Gated-Reservoir model: a reservoir trained to hold a triggered information from an input stream and maintain it in a readout unit. We combined both components in order to obtain a model in which information can go from long-term