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检索条件"机构=Image Processing and Pattern Recognition Laboratory"
516 条 记 录,以下是291-300 订阅
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An improved convex programming model for the inverse problem in intensity-modulated radiation therapy
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International Journal of Performability Engineering 2018年 第5期14卷 871-884页
作者: Lan, Yihua Zhang, Xingang Zhang, Jianyang Wang, Yang Hung, Chih-Cheng School of Computer and Information Technology Nanyang Normal University Nanyang473061 China Institute of Image Processing and Pattern Recognition Nanyang Normal University Nanyang473061 China Radiology Department Central Hospital of Nanyang Nanyang473061 China Laboratory for Machine Vision and Security Research College of Computing and Software Engineering Kennesaw State University - Marietta Campus 1100 South Marietta Parkway MariettaGA30067-2896 United States
Intensity modulated radiation therapy technology (IMRT) is one of the main approaches in cancer treatment because it can guarantee the killing of cancer cells while optimally protecting normal tissue from complication... 详细信息
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Double Backpropagation for Training Autoencoders against Adversarial Attack
arXiv
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arXiv 2020年
作者: Sun, Chengjin Chen, Sizhe Huang, Xiaolin Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing 800 Dongchuan Road Shanghai200240 China
Deep learning, as widely known, is vulnerable to adversarial samples. This paper focuses on the adversarial attack on autoencoders. Safety of the autoencoders (AEs) is important because they are widely used as a compr... 详细信息
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Motion Planning and Tracking Control Method Based on CoppeliaSim for UGV in Irregular Terrain
Motion Planning and Tracking Control Method Based on Coppeli...
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WRC Symposium on Advanced Robotics and Automation (WRC SARA)
作者: Jiale Huang Zhihua Chen Yongbo Zhong Wenrui Zeng Chuanmin Ji key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology Nanchang Hangkong University Nanchang China
Path planning and tracking algorithms are one of the cores of autonomous navigation technology for unmanned ground vehicle (UGV). In this paper, a local obstacle avoidance method based on event-triggered control is pr...
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Improvement and invariance analysis of Zernike moments
Improvement and invariance analysis of Zernike moments
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International Conference on Communications, Circuits and Systems (ICCCAS)
作者: Ye Bin Peng Jia Xiong State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China
An improved Zernike moment using a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not ha... 详细信息
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Comparative studies of Feature Extraction methods with application to face recognition
Comparative studies of Feature Extraction methods with appli...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Yunfei Jiang Ping Guo Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China
In face recognition, the dimensionality of raw data is very high, dimension reduction (feature extraction) should be applied before classification. There exist several feature extraction methods, commonly used are pri... 详细信息
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Scene Text Detection with Feature Aggregation and Receptive Field Enhancement
Scene Text Detection with Feature Aggregation and Receptive ...
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IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
作者: Qin Tang Qishen Li Ruirui Wang Yanming Lai School of Information Engineering Nanchang Hangkong University Nanchang China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Jiangxi China
We propose a scene text detection with feature aggregation and receptive field enhancement. It mainly improves the problem of wrong text segmentation. Specifically, a Feature Aggregation and Receptive Field Enhancemen... 详细信息
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Feature data optimization with LVQ technique in semantic image annotation
Feature data optimization with LVQ technique in semantic ima...
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International Conference on Intelligent Systems Design and Applications (ISDA)
作者: Ziheng Jiang Jing He Ping Guo School of Computer Science and Technology Beijing Institute of Technology Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
In order to improve the classifier performance in semantic image annotation, we propose a novel method which adopts learning vector quantization (LVQ) technique to optimize low level feature data extracted from given ... 详细信息
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Experimental Study of Discriminant Method with Application to Fault-Prone Module Detection
Experimental Study of Discriminant Method with Application t...
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International Conference on Computational Intelligence and Security
作者: Gege Guo Ping Guo School of Computer Science and Technology Beijing Institute of Technology Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Some techniques have been applied to improving software quality by classifying the software modules into fault-prone or non fault-prone categories. This can help developers focus on some high risk fault-prone modules.... 详细信息
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Online LiDAR-Camera Extrinsic Parameters Self-checking
arXiv
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arXiv 2022年
作者: Wei, Pengjin Yan, Guohang Li, Yikang Fang, Kun Yang, Jie Liu, Wei The Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University China The Autonomous Driving Group Shanghai AI Laboratory China
With the development of neural networks and the increasing popularity of automatic driving, the calibration of the LiDAR and the camera has attracted more and more attention. This calibration task is multi-modal, wher... 详细信息
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Kernel ICA applied to feature extraction for image annotation
Kernel ICA applied to feature extraction for image annotatio...
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International Conference on Intelligent Systems Design and Applications (ISDA)
作者: Bingxin Xu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China The School of Computer Science and Technology Beijing Institute of Technology Beijing China
In automatic image annotation, it is often extracting low-level visual features from original image for the purpose of mapping to high level image semantic information. In this paper, we propose a novel method which i... 详细信息
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