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检索条件"机构=Institute of Image Processing & Pattern Recognition Henan University"
1321 条 记 录,以下是11-20 订阅
排序:
Average Weight Optimization RBPF Method for Target Tracking in Multi-Sensor Observations
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电子学报(英文版) 2013年 第2期22卷 401-404页
作者: LIU Xianxing HU Zhentao LI Jie Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China
The reasonable design of particle filter framework in multi-sensor observation system is the key to expand the application domain of sampling nonlinear filters. Aiming at the effective realization of particle filter f... 详细信息
来源: 评论
Robust Face recognition via Low-rank Sparse Representation-based Classification
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International Journal of Automation and computing 2015年 第6期12卷 579-587页
作者: Hai-Shun Du Qing-Pu Hu Dian-Feng Qiao Ioannis Pitas Institute of Image Processing and Pattern Recognition Henan University Department of Informatics Aristotle University of Thessaloniki
Face recognition has attracted great interest due to its importance in many real-world applications. In this paper,we present a novel low-rank sparse representation-based classification(LRSRC) method for robust face r... 详细信息
来源: 评论
Function Projective Lag Synchronization of Chaotic Systems with Certain Parameters via Adaptive-impulsive Control
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International Journal of Automation and computing 2019年 第2期16卷 238-247页
作者: Xiu-Li Chai Zhi-Hua Gan Institute of Image Processing and Pattern Recognition Henan University Institute of Intelligent Network System School of SoftwareHenan University
A new method is presented to study the function projective lag synchronization(FPLS) of chaotic systems via adaptive-impulsive control. To achieve synchronization, suitable nonlinear adaptive-impulsive controllers are... 详细信息
来源: 评论
Probabilistic data association algorithm based on ensemble Kalman filter with observation iterated update
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High Technology Letters 2015年 第3期21卷 301-308页
作者: 胡振涛 Fu Chunling Li Junwei Institute of Image Processing and Pattern Recognition Henan University College of Physics and Electronics Henan University
Aiming at improving the observation uncertainty caused by limited accuracy of sensors,and the uncertainty of observation source in clutters,through the dynamic combination of ensemble Kalman filter(EnKF) and probabili... 详细信息
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A novel multi-sensor multiple model particle filter with correlated noises for maneuvering target tracking
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High Technology Letters 2014年 第4期20卷 355-362页
作者: 胡振涛 Fu Chunling Institute of Image Processing and Pattern Recognition Henan University School of Physics and Electronics Henan University
Aiming at the effective realization of particle filter for maneuvering target tracking in multi-sensor measurements,a novel multi-sensor multiple model particle filtering algorithm with correlated noises is *** with t... 详细信息
来源: 评论
Consistency-Guided Adaptive Alternating Training for Semi-Supervised Salient Object Detection
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Chen, Liyuan Liu, Wei Wang, Hua Jeon, Sang-Woon Jiang, Yunliang Zheng, Zhonglong Zhejiang Normal University School of Computer Science and Technology Jinhua321004 China Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition Department of Automation Shanghai200240 China Victoria University Institute for Sustainable Industries and Liveable Cities College of Engineering and Science MelbourneVIC8001 Australia Hanyang University Department of Electrical and Electronic Engineering Ansan Korea Republic of
This paper presents a novel approach that leverages two models to integrate features from numerous unlabeled images, addressing the challenge of semi-supervised salient object detection (SSOD). Unlike conventional met... 详细信息
来源: 评论
2M3DF: Advancing 3D Industrial Defect Detection with Multi Perspective Multimodal Fusion Network
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Asad, Mujtaba Azeem, Waqar Jiang, He Mustafa, Hafiz Tayyab Yang, Jie Liu, Wei Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition Department of Automation Shanghai200240 China Lahore Garrison University Department of Software Engineering Lahore54000 Pakistan China University of Mining and Technology School of Information and Control Engineering Jiangsu Xuzhou221116 China Zhejiang Normal University School of Computer Science and Technology Jinhua321004 China
In the context of Industrial Anomaly Detection (IAD), ensuring the quality of manufactured products is critical. Traditional 2D based methods often fail to capture anomalies present in complex 3D shapes. For effective... 详细信息
来源: 评论
Speckle reduction of SAR images using ICA basis enhancement and separation
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Chinese Optics Letters 2007年 第9期5卷 509-512页
作者: 李昱彤 周越 Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University
An approach for synthetic aperture radar (SAR) image de-noising based on independent component analysis (ICA) basis images is proposed. Firstly, the basis images and the code matrix of the original image are obtai... 详细信息
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Multi-sensor federated unscented Kalman filtering algorithm in intermittent observations
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High Technology Letters 2015年 第2期21卷 132-139页
作者: 胡振涛 Hu Yumei Li Song Institute of Image Processing and Pattern Recognition Henan University College of Computer and Information Engineering Henan University
Aiming at the adverse effect caused by limited detecting probability of sensors on filtering preci- sion of a nonlinear system state, a novel muhi-sensor federated unscented Kalman filtering algorithm is proposed. Fir... 详细信息
来源: 评论
Fault Detection and Isolation of Sensor in Markov Jump Systems based on Space Geometry Method  35
Fault Detection and Isolation of Sensor in Markov Jump Syste...
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第35届中国控制会议
作者: HOU Yandong QIAO Dianfeng CHENG Qianshuai HUANG Ruirui Institute of Image Processing and Pattern Recognition Henan University
This paper investigates sensor fault problems in Markov jump systems with uncertain *** the measurement equation,the sensor faults can be translated into the state ***,a cluster of residual generators is designed by e... 详细信息
来源: 评论