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

PANT

G-spot

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

Blasphemy

archenemy

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

galley

终点

6Applepolish

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

审问,审讯

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.

Abnormal

解决