Titlebook: Artificial Intelligence and Security; 6th International Co Xingming Sun,Jinwei Wang,Elisa Bertino Conference proceedings 2020 Springer Natu

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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

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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

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https://doi.org/10.1007/978-981-15-8086-4artificial intelligence; communication systems; computer hardware; computer networks; computer security;