supported by the major project of the National Social Science Foundation of China“Big Data-driven Semantic Evaluation System of Science and Technology Literature”(Grant No.21&ZD329)。
Purpose:To address the“anomalies”that occur when scientific breakthroughs emerge,this study focuses on identifying early signs and nascent stages of breakthrough innovations from the perspective of outliers,aiming t...
An outliers-free isogeometric modeling method for rotating disk-shaft systems is developed.The Timoshenko beam theory and artificial spring technique are employed for the rotating shaft and elastic boundary conditions...
supported by the National Natural Science Foundation of China(Grant No.62220106003);Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology.
The cross-view matching of local image features is a fundamental task in visual localization and 3D reconstruction.This study proposes FilterGNN,a transformer-based graph neural network(GNN),aiming to improve the matc...
supported in part by the Guangxi Key Laboratory of Trusted Software,China(KX202037);the Project of Guangxi Science and Technology,China(GuiKeAD 20297054);the Guangxi Natural Science Foundation Project,China(2020GXNSFBA297108)。
Bundle recommendation offers users more holistic insights by recommending multiple compatible items at once.However,the intricate correlations between items,varied user preferences,and the pronounced data sparsity in ...
supported by the National Natural Science Foundation of China under Grant Nos.61973301,61972020;Youth Innovation Promotion Association CAS。
Feature correspondence is a crucial aspect of various computer vision and robot vision tasks.Unlike traditional optimization-based matching techniques,researchers have recently adopted a learning-based approach for ma...
the financial support provided by the National Key Research and Development Program for Young Scientists(No.2021YFC2900400);Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(CPSF)(No.GZB20230914);National Natural Science Foundation of China(No.52304123);China Postdoctoral Science Foundation(No.2023M730412);Chongqing Outstanding Youth Science Foundation Program(No.CSTB2023NSCQ-JQX0027).
Monitoring sensors in complex engineering environments often record abnormal data,leading to significant positioning errors.To reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust l...
financial support from the National Key Research and Development Program of China (Nos. 2022YFB3904303 and 2020YFB0505602);the National Natural Science Foundation of China (Nos. 62076019, 62022012, U2233217, 62101019 and 62371029);the Civil Aviation Security Capacity Building Fund Project, China (Nos. CAAC Contract 2020(123), CAAC Contract 2021(77) and CAAC Contract 2022(110))
With rapid development of UAV technology,research on UAV image analysis has gained attention.As the existing techniques of UAV target localization often rely on additional equipment,a method of UAV target localization...
This paper investigates the application ofmachine learning to develop a response model to cardiovascular problems and the use of AdaBoost which incorporates an application of Outlier Detection methodologies namely;Z-S...
supported by National Natural Science Foundation of China(Grant No.12071483)。
Due to the direct statistical interpretation,censored linear regression offers a valuable complement to the Cox proportional hazards regression in survival analysis.We propose a rank-based high-dimensional inference f...
Project supported by the National Natural Science Foundation of China(No.12171124);the Natural Science Foundation of Heilongjiang Province of China(No.ZD2022F003);the National High-end Foreign Experts Recruitment Plan of China(No.G2023012004L);the Alexander von Humboldt Foundation of Germany。
This paper investigates the problem of outlier-resistant distributed fusion filtering(DFF)for a class of multi-sensor nonlinear singular systems(MSNSSs)under a dynamic event-triggered scheme(DETS).To relieve the effec...