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检索条件"机构=Key Lab. of Image Processing and Intelligent Control"
183 条 记 录,以下是101-110 订阅
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Isoform Function Prediction Based on Heterogeneous Graph Attention Networks
Isoform Function Prediction Based on Heterogeneous Graph Att...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Guo, Kuo Li, Yifan Chen, Hao Shen, Hong-Bin Yang, Yang Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Institute of Image Processing and Pattern Recognition Shanghai200240 China Carnegie Mellon University School of Computer Science Computational Biology Department PittsburghPA15213 United States
Isoforms refer to different mRNA molecules transcribed from the same gene, which can be translated into proteins with varying structures and functions. Predicting the functions of isoforms is an essential topic in bio... 详细信息
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Consensus and rendezvous predictive control for multi-agent systems with input constraints
Consensus and rendezvous predictive control for multi-agent ...
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第三十三届中国控制会议
作者: Zhaomeng Cheng Hai-Tao Zhang Ming-Can Fan Key Laboratory of Image Processing and Intelligent Control School of AutomationState Key Lab of Digital Manufacturing Equipment and TechnologyHuazhong University of Science and Technology
The discrete-time double-integrator consensus and rendezvous problems are both addressed for distributed multiagent systems with directed switching topologies and input *** develop model predictive control algorithms ... 详细信息
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Lightweight Human Pose Estimation Using Heatmap-Weighting Loss
arXiv
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arXiv 2022年
作者: Li, Shiqi Xiang, Xiang MoE Key Lab of Image Information Processing Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China
Recent research on human pose estimation exploits complex structures to improve performance on benchmark datasets, ignoring the resource overhead and inference speed when the model is actually deployed. In this paper,... 详细信息
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Data Fusion and Efficient Algorithm for Moving Target Tracking
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IFAC Proceedings Volumes 2008年 第2期41卷 2406-2411页
作者: Guocheng Liu Yongji Wang Chinese Education Ministry Key Lab. for Image Processing and Intelligence Control Department of Control Science and Engineering Huazhong University of Science and Technology P.R. China (Tel: 0086-27-68772267
The principle of target tracking and data fusion techniques are discussed. To resolve high uncertainty that exists in sensors of mobile robots, one multi-sensor data fusion algorithm is presented. The algorithm is bas...
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Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning
Expanding Hyperspherical Space for Few-Shot Class-Incrementa...
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Yao Deng Xiang Xiang Key Lab of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
In today’s ever-changing world, the ability of machine learning models to continually learn new data without forgetting previous knowledge is of utmost importance. However, in the scenario of few-shot class-increment...
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Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition
Cross-Domain Few-Shot Incremental Learning for Point-Cloud R...
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Yuwen Tan Xiang Xiang Key Lab of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Sensing 3D objects is critical when 2D object recognition is not accessible. A robot pre-trained on a large point-cloud dataset will encounter unseen classes of 3D objects after deploying it. Therefore, the robot shou...
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Study of high-resolution range profile for monostatic MIMO radar based on SIAR
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Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics 2010年 第4期32卷 734-739+763页
作者: Zhao, Guang-Hui Chen, Bai-Xiao Gao, Zhao-Zhao Intelligent Perception and Image Understanding Key Lab of Ministry of Education of China Xidian Univ. Xi'an 710071 China National Key Lab for Radar Signal Processing Xidian Univ. Xi'an 710071 China National Information Control Laboratory Chengdu 610036 China
Conventional pulse compression use a periodical echo of single receive antenna, which is modulated by a certain carrier-frequency, in other words, single spectrum is exploited. But for MIMO radar, as the multi-carrier... 详细信息
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AI WALKUP: A Computer-Vision Approach to Quantifying MDS-UPDRS in Parkinson's Disease
arXiv
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arXiv 2024年
作者: Xiang, Xiang Zhang, Zihan Ma, Jing Deng, Yao Key Lab of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China
Parkinson's Disease (PD) is the second most common neurodegenerative disorder. The existing assessment method for PD is usually the Movement Disorder Society - Unified Parkinson's Disease Rating Scale (MDS-UPD... 详细信息
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Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers
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National Science Review 2021年 第4期8卷 78-90页
作者: Xiao Zhang Dongrui Wu Lieyun Ding Hanbin Luo Chin-Teng Lin Tzyy-Ping Jung Ricardo Chavarriaga Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and Technology School of Civil Engineering and Mechanics Huazhong University of Science and Technology Centre of Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Swartz Center for Computational Neuroscience Institute for Neural ComputationUniversity of California San Diego Center for Advanced Neurological Engineering Institute of Engineering in Medicine University of California San Diego ZHAW Data Lab Zürich University of Applied Sciences
An electroencephalogram(EEG)-based brain–computer interface(BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g. amyotrophic lateral scle... 详细信息
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Variational Bayesian framework for estimating parameters of integrated E/MEG and fMRI model
Variational Bayesian framework for estimating parameters of ...
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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
作者: Babajani-Feremi, Abbas Bowyer, Susan Moran, John Elisevich, Kost Soltanian-Zadeh, Hamid Image Analysis Lab. Radiology Department Henry Ford Hospital Detroit MI 48202 United States Neuromagnetism Lab. Neurology Department Henry Ford Hospital Detroit MI 48202 United States Department of Neurology Henry Ford Hospital Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran 14395-515 Iran
The integrated analysis of the Electroencephalography (EEG), Magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) are instrumental for functional neuroimaging of the brain. A bottom-up integr... 详细信息
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