aggravate 发表于 2025-3-23 13:35:10

On Clustering Using Random Walksclassifier design. To address this issue, we propose an end-to-end trainable convolutional neural networks (CNN) model for multimodal biometric recognition, where high-level feature can be abundantly extracted by convolution operation. In order to improve the recognition performance by feature level

avulsion 发表于 2025-3-23 17:42:29

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富饶 发表于 2025-3-23 18:06:23

Subtyping Constraints in Quasi-latticesg method extracts facial features are less robust and the traditional convolutional neural network can not fully extract the expression features, a residual network model integrating CBAM attention mechanism is proposed. Given an intermediate feature map, a attention map is generated on the channel

放大 发表于 2025-3-24 01:32:24

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使厌恶 发表于 2025-3-24 06:20:07

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hair-bulb 发表于 2025-3-24 08:46:31

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狂乱 发表于 2025-3-24 13:20:07

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adjacent 发表于 2025-3-24 15:15:05

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手榴弹 发表于 2025-3-24 19:08:57

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多嘴多舌 发表于 2025-3-24 23:14:19

https://doi.org/10.1007/978-981-15-8086-4artificial intelligence; communication systems; computer hardware; computer networks; computer security;
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查看完整版本: Titlebook: Artificial Intelligence and Security; 6th International Co Xingming Sun,Jinwei Wang,Elisa Bertino Conference proceedings 2020 Springer Natu