Titlebook: Artificial Intelligence; First CAAI Internati Lu Fang,Yiran Chen,Weisheng Dong Conference proceedings 2021 Springer Nature Switzerland AG 2

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Selected Sample Retraining Semi-supervised Learning Method for?Aerial Scene Classification data set through the high probability sample selection method. Finally, the two segmented data sets are combined with the labeled data sets to train a scene classifier based on the semi-supervised learning method. To verify the effectiveness of the proposed method, it is further compared with sever

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Diagnosis of?Childhood Autism Using Multi-modal Functional Connectivity via?Dynamic Hypergraph Learnplex correlation among different subjects under static and dynamic modalities, respectively. To further moderate inappropriate or even wrong connections, a multi-modal dynamic hypergraph learning process is conducted to jointly learn the data correlation and predict the subject labels, i.e., HC or A

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MMG-HCI: A Non-contact Non-intrusive Real-Time Intelligent Human-Computer Interaction Systemnstruction of millimeter-wave radar gesture dataset. Since there is no suitable open-source dataset at present, we collect and build our own dataset through the real-time system. 3, Training graph neural network (GNN) for HAR based on millimeter-wave radar. In order to classify the mmWave radar poin

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DSGSR: Dynamic Semantic Generation and Similarity Reasoning for Image-Text Matchinghbor node information on matching accuracy when measuring the image-text similarity. A large number of experiments and analyses show that the DSGSR model surpass state-of-the-art methods on Flickr30K and MSCOCO datasets.

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