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作品数:122被引量:170H指数:7
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相关领域:自动化与计算机技术更多>>
相关作者:任爽石磊郭猛钱卫宁王全兴更多>>
相关机构:云南大学大连理工大学武汉纺织大学第二军医大学更多>>
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相关基金:国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划安徽省自然科学基金更多>>
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Early identification of scientific breakthroughs through outlier analysis based on research entities
《Journal of Data and Information Science》2024年第4期90-109,共20页Yang Zhao Mengting Zhang Xiaoli Chen Zhixiong Zhang 
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...
关键词:Scientific breakthroughs Outlier analysis Research entities 
An outliers-free isogeometric modeling method of rotating disk-shaft systems under elastic boundary conditions
《Frontiers of Structural and Civil Engineering》2024年第12期1908-1921,共14页Xi KUANG Zhansheng LIU Cosmin ANITESCU Timon RABCZUK 
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...
关键词:isogeometric analysis outliers-free non-linear mapping disk-shaft coupling rotor systems 
FilterGNN:Image feature matching with cascaded outlier filters and linearattention
《Computational Visual Media》2024年第5期873-884,共12页Jun-Xiong Cai Tai-Jiang Mu Yu-Kun Lai 
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...
关键词:image matching TRANSFORMER linear attention visual localization sparse reconstruction 
Outlier item detection in bundle recommendation via the attention mechanism
《High-Confidence Computing》2024年第3期51-57,共7页Yuan Liang 
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 ...
关键词:Bundle recommendation Outlier item detection Attention mechanism Decoder encoder 
Outlier Robust Feature Correspondence by Learning Based Matching Process
《Journal of Systems Science & Complexity》2024年第4期1351-1367,共17页YANG Xu ZENG Shaofeng LIU Zhiyong 
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...
关键词:Feature correspondence graph neural network optimal transport problem pointmatching 
Enhancing microseismic/acoustic emission source localization accuracy with an outlier-robust kernel density estimation approach被引量:1
《International Journal of Mining Science and Technology》2024年第7期943-956,共14页Jie Chen Huiqiong Huang Yichao Rui Yuanyuan Pu Sheng Zhang Zheng Li Wenzhong Wang 
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...
关键词:Microseismic source/acoustic emission(MS/AE) Kernel density estimation(KDE) Damping linear correction Source location Abnormal arrivals 
UAV image target localization method based on outlier filter and frame buffer
《Chinese Journal of Aeronautics》2024年第7期375-390,共16页Yang WANG Hongguang LI Xinjun LI Zhipeng WANG Baochang ZHANG 
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...
关键词:Object localization Deep learning Depth estimate Scale recovery Unmanned Aerial Vehicle(UAV) 
A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction被引量:1
《Computer Systems Science & Engineering》2024年第5期1085-1112,共28页Varada Rajkumar Kukkala Surapaneni Phani Praveen Naga Satya Koti Mani Kumar Tirumanadham Parvathaneni Naga Srinivasu 
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...
关键词:Grey wolf optimization ant colony optimization Z-SCORE interquartile range(IQR) ADABOOST OUTLIER 
High-dimensional robust inference for censored linear models
《Science China Mathematics》2024年第4期891-918,共28页Jiayu Huang Yuanshan Wu 
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...
关键词:censoring mechanism heavy-tailed distribution non-smooth loss function OUTLIER rank regression 
Outlier-resistant distributed fusion filtering for nonlinear discrete-time singular systems under a dynamic event-triggered scheme
《Frontiers of Information Technology & Electronic Engineering》2024年第2期237-249,共13页Zhibin HU Jun HU Cai CHEN Hongjian LIU Xiaojian YI 
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...
关键词:Distributed fusion filtering Multi-sensor nonlinear singular systems Dynamic event-triggered scheme Outlier-resistant filter Uniform boundedness 
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