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Article
Integrating curriculum learning with meta-learning for general rhetoric identification
Rhetoric is abundant and universal across different human languages. In this paper, we propose a novel curriculum learning integrated with meta-learning (CLML) model to address the task of general rhetorical i...
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Article
GCN recommendation model based on the fusion of dynamic multiple-view latent interest topics
Graph neural network-based representation models have shown extraordinary potential in numerous recommender system applications. Previous studies mainly considered high-order connectivity information in a sing...
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Chapter and Conference Paper
A Novel Background Subtraction Method Based on ViBe
In recent years, a large number of background subtraction methods have been proposed. Among these methods, the visual background subtraction method (ViBe) receives much attention due to its high efficiency and...
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Chapter and Conference Paper
Multiscale Cascaded Scene-Specific Convolutional Neural Networks for Background Subtraction
Recent years have witnessed the widespread success of convolutional neural networks (CNNs) in computer vision and multimedia. The CNNs based background subtraction methods, which are effective for addressing t...
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Chapter and Conference Paper
Pairing-Based Provable Blind Signature Scheme Without Random Oracles
Blind signature allows the user to obtain a signature of a message in a way that the signer learns neither the message nor the resulting signature. Recently a lot of signature or encryption schemes are provabl...