supported by National Natural Science Foundation of China(Grant Nos.62376089,62302153,62302154,62202147);the key Research and Development Program of Hubei Province,China(Grant No.2023BEB024).
The world produces vast quantities of high-dimensional multi-semantic data.However,extracting valuable information from such a large amount of high-dimensional and multi-label data is undoubtedly arduous and challengi...
supported by the National Key R&D Program of China(No.2021YFE0205700);the National Natural Science Foundation of China(Nos.62076235,62276260 and 62002356);sponsored by the Zhejiang Lab(No.2021KH0AB07);the Ministry of Education Industry-University Cooperative Education Program(Wei Qiao Venture Group,No.E1425201).
Self-attention aggregates similar feature information to enhance the features. However, the attention covers nonface areas in face alignment, which may be disturbed in challenging cases, such as occlusions, and fails ...
supported by the National Key Research and Development Program of China under Grant No.2020YFB1313602.
Offline handwritten formula recognition is a challenging task due to the variety of handwritten symbols and two-dimensional formula structures.Recently,the deep neural network recognizers based on the encoder-decoder ...
supported in part by the 2023 Key Supported Project of the 14th Five Year Plan for Education and Science in Hunan Province with No.ND230795.
In recent years,skeleton-based action recognition has made great achievements in Computer Vision.A graph convolutional network(GCN)is effective for action recognition,modelling the human skeleton as a spatio-temporal ...
supported by the National Natural Science Foundation of China(61975020,62171053)。
Accurate traffic pattern prediction in largescale networks is of great importance for intelligent system management and automatic resource allocation.System-level mobile traffic forecasting has significant challenges ...
This work was supported in part by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2020R1A2C1013308).
Automation software need to be continuously updated by addressing software bugs contained in their repositories.However,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on...
Tree communities contribute to maintenance of species diversity in tropical forests. Coexistence of many tree species is not without competition. Therefore, coexistence of tree species and size diversities occur seque...
supported by the National Natural Science Foundation of China (61876158);Fundamental Research Funds for the Central Universities (2682021ZTPY030)。
Few-shot learning(FSL) is a new machine learning method that applies the prior knowledge from some different domains tasks.The existing FSL models of metric-based learning have some drawbacks,such as the extracted fea...
Dropping fractions of users or items judiciously can reduce the computational cost of Collaborative Filtering(CF)algorithms.The effect of this subsampling on the computing time and accuracy of CF is not fully understo...
In several industrial fields like air transport,energy industry and military domain,maintenance actions are carried out during downtimes in order to maintain the reliability and availability of production system.In su...