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检索条件"机构=Key Laboratory of Imaging Processing and Intelligence Control"
1032 条 记 录,以下是111-120 订阅
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A new approach to extract rectangle building from aerial urban images  6
A new approach to extract rectangle building from aerial urb...
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6th International Conference on Signal processing, ICSP 2002
作者: Tao, Wen-Bing Tian, Jin-Wen Liu, Jian State Key Laboratory for Image Processing and Intelligence Control Hubei Wuhan430074 China Institute for Pattern Recognition and Artificial Intelligence HUST Hubei Wuhan430074 China
In this paper, we proposed a new Primitive-Structure- Based approach for extracting rectangle building from aerial urban images. We obtain all kinds of primitive-structure that compose rectangle by analysing geometric... 详细信息
来源: 评论
MRI brain tumor segmentation based on improved fuzzy c-means method
MRI brain tumor segmentation based on improved fuzzy c-means...
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MIPPR 2009 - Medical imaging, Parallel processing of Images, and Optimization Techniques: 6th International Symposium on Multispectral Image processing and Pattern Recognition
作者: Deng, Wankai Xiao, Wei Pan, Chao Liu, Jianguo Key Laboratory of Education Ministry for Image Processing and Intelligence Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China
This paper focuses on the image segmentation, which is one of the key problems in medical image processing. A new medical image segmentation method is proposed based on fuzzy c- means algorithm and spatial information... 详细信息
来源: 评论
Fabric Defect Defection based on Lightweight Convolutional Denoising Auto-Encoder  22
Fabric Defect Defection based on Lightweight Convolutional D...
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8th International Conference on Computing and Artificial intelligence, ICCAI 2022
作者: Jin, Dong Li, Wenzheng Sun, Zhigang Li, Xiao School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China
In the industrial production environment, the scarcity of defect samples and the high labor cost of labeling defect samples make supervised machine learning models difficult to implement. In addition, defect detection... 详细信息
来源: 评论
Image Sample Generation of Stator Surface Defects Based on Layer Mask Blending Generative Adversarial Network  23
Image Sample Generation of Stator Surface Defects Based on L...
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9th International Conference on Computing and Artificial intelligence, ICCAI 2023
作者: Li, Wenzheng Tian, Lihua Sun, Zhigang Xiao, Li School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China
In industrial production processes, defect inspection plays an important role in reducing the occurrence of failures and improving production efficiency. Data-driven algorithms represented by deep learning have made g... 详细信息
来源: 评论
Eigenvector of Gram-Matrix based Open-Fault Diagnosis Method for Two-level Three-Phase Inverter  10
Eigenvector of Gram-Matrix based Open-Fault Diagnosis Method...
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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia
作者: Zhou, Yang Zhao, Jin Liu, Yang Sun, Lijun Huazhong University of Science and Technology Key Laboratory of Imaging Processing and Intelligence Control Ministry of Education School of Artificial Intelligence and Automation Wuhan China Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China
This paper studies the power switch open-circuit(OC) fault in two-level three-phase (2L3P) voltage source inverter (VSI). According to the topological symmetry of the inverter, when it works in healthy conditions, its... 详细信息
来源: 评论
Curve reconstruction from a set of dense scattered points using A* algorithm
Curve reconstruction from a set of dense scattered points us...
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MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on Multispectral Image processing and Pattern Recognition
作者: Sun, Yangguang Zhou, Chengping Cai, Chao Ding, Mingyue Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies HUST Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China HUST Wuhan 430074 China
In this paper, a novel curve reconstruction method based on A* algorithm from a set of dense scattered points was proposed. Our method can not only reconstruct dense scattered points with single connected complicated ... 详细信息
来源: 评论
Time-to-go Estimation for Guidance Law with Impact Angle Constraint  41
Time-to-go Estimation for Guidance Law with Impact Angle Con...
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第41届中国控制会议
作者: Binghe An Zongzhun Zheng Bo Wang Huijin Fan Lei Liu Yongji Wang National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artificial Intelligence and AutomationHuazhong University of Science and Technology Beijing Aerospace Automatic Control Institute
In this paper,we focus on the time-to-go estimation problem for the impact-angle-constrained guidance *** facilitate the time-to-go estimation,the whole guidance process is divided into two *** sliding mode guidance l... 详细信息
来源: 评论
Bimodal Feature Propagation and Fusion for Real-time Semantic Segmentation on RGB-D Images  7
Bimodal Feature Propagation and Fusion for Real-time Semanti...
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7th International Conference on Intelligent Computing and Signal processing, ICSP 2022
作者: He, Ying Xiao, Li Sun, Zhigang Wang, Zhuo Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Wuhan China
Semantic Segmentation is the foundation of scene understanding and automatic driving tasks. One of the challenges of semantic segmentation is the reduction of feature resolution as the network goes deep. In this paper... 详细信息
来源: 评论
Demand-Side Frequency control in Power Network Based on Multi-Agent Deep Reinforcement Learning  5
Demand-Side Frequency Control in Power Network Based on Mult...
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5th International Conference on Industrial Artificial intelligence, IAI 2023
作者: Liu, Xianggang Liu, Zhi-Wei Chi, Ming Zhang, Yifan Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Ministry of Education College of Artificial Intelligence and Automation Wuhan China
The integration of renewable energy sources into the power grid has led to new challenges in maintaining the stability of the system frequency. This paper proposes a novel approach to address the Optimal Demand Side F... 详细信息
来源: 评论
EMPIRICAL STUDIES ON THE PROPERTIES OF LINEAR REGIONS IN DEEP NEURAL NETWORKS  8
EMPIRICAL STUDIES ON THE PROPERTIES OF LINEAR REGIONS IN DEE...
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8th International Conference on Learning Representations, ICLR 2020
作者: Zhang, Xiao Wu, Dongrui Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
A deep neural network (DNN) with piecewise linear activations can partition the input space into numerous small linear regions, where different linear functions are fitted. It is believed that the number of these regi... 详细信息
来源: 评论