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检索条件"机构=School of Electrical and Computer Engineering Intelligent Systems and Control Laboratory"
1489 条 记 录,以下是1401-1410 订阅
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Activation detection in multi-subject studies of fMRI using GLRT
Activation detection in multi-subject studies of fMRI using ...
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IEEE Symposium on Nuclear Science (NSS/MIC)
作者: S.M. Shams G.A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics University of Tehran School of Cognitive Sciences Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System University of Tehran School of Cognitive Sciences Iran
A new method based on generalized likelihood ratio test (GLRT) for activation detection in multi-subject studies of functional MRI (fMRI) is proposed. In this method, we test the correlation between the fMRI time seri... 详细信息
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Unified, periodic & sampled data H/sub /spl infin// control using the delta operator
Unified, periodic & sampled data H/sub /spl infin// control ...
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IEEE Conference on Decision and control
作者: B. Lennartson R. Middleton A.-K. Christiansson Control and Automation Laboratory Department of Signals and Systems Chalmers University of Technology Goteborg Sweden Complex Dynamic Systems & Control School of Electrical Engineering & Computer Science University of Newcastle Callaghan NSW Australia University of Trollhättan/Uddevalla Trollhattan Sweden
A unified and general framework is presented for H/sub /spl infin// control of mixed continuous-time and discrete-time time-varying (periodic) systems. Using the delta operator, a close relationship is shown between t... 详细信息
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Low order sampled data H/sub /spl infin// control using the delta operator and LMIs
Low order sampled data H/sub /spl infin// control using the ...
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IEEE Conference on Decision and control
作者: B. Lennartson R. Middleton A.-K. Christiansson T. McKelvey Control and Automation Laboratory Department of Signals and Systems Chalmers University of Technology Goteborg Sweden Complex Dynamic Systems & Control School of Electrical Engineering & Computer Science University of Newcastle Callaghan NSW Australia University of Trollhättan/Uddevalla Trollhattan Sweden Department of Signals and Systems Chalmers University of Technology Goteborg Sweden
A procedure for H/sub /spl infin// optimization of low order controllers for discrete-time and sampled-data systems is presented in this paper. Generally, low order H/sub /spl infin// controllers may be achieved by so... 详细信息
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Using a non-prior training active feature model
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3333卷 69-78页
作者: Kim, Sangjin Kang, Jinyoung Shin, Jeongho Lee, Seongwon Paik, Joonki Kang, Sangkyu Abidi, Besma Abidi, Mongi Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-Dong Tongjak-Ku Seoul 156-756 Korea Republic of Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN 27996-2100 United States
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects,... 详细信息
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A SOM projection technique with the growing structure for visualizing high-dimensional data.
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International journal of neural systems 2003年 第5期13卷 353-365页
作者: Wu, Zheng Yen, Gary G Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater 74078 OK United States
The Self-Organizing Map (SOM) is an efficient tool for visualizing high-dimensional data. In this paper, an intuitive and effective SOM projection method is proposed for mapping high-dimensional data onto the two-dime... 详细信息
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AUTOMATIC FACIAL FEATURE EXTRACTION USING EDGE DISTRIBUTION AND GENETIC SEARCH
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International Journal of Computational Intelligence and Applications 2003年 第1期3卷 89-100页
作者: GARY G. YEN NETHRIE NITHIANANDAN Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK 74074-5032 USA
A heuristic, automatic facial feature extraction approach is presented in this paper. The method is based on the edge density distribution of the image, containing non-occluded, nearly frontal view of one or more face... 详细信息
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Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design
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International Journal of Computational Intelligence and Applications 2003年 第3期3卷 213-232页
作者: Gary G. Yen Haiming Lu Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK 74078-503 USA
In this paper, we propose a genetic algorithm based design procedure for a radial-basis function neural network. A Hierarchical Rank Density Genetic Algorithm (HRDGA) is used to evolve the neural network's topolog... 详细信息
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A SOM projection technique with the growing structure for visualizing high-dimensional data
A SOM projection technique with the growing structure for vi...
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International Joint Conference on Neural Networks (IJCNN)
作者: Z. Wu G.G. Yen Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA
The Self-Organizing Map (SOM) is an efficient tool for visualizing high-dimensional data. In this paper, an intuitive and effective SOM projection method is proposed for mapping high-dimensional data onto the two-dime... 详细信息
来源: 评论
Multiple model fault tolerant control using Globalized Dual Heuristic Programming
Multiple model fault tolerant control using Globalized Dual ...
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IEEE International Symposium on intelligent control (ISIC)
作者: P.G. DeLima G.G. Yen Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA
An advanced reconfigurable controller improved by a multiple model architecture is proposed as a tool to achieve fault tolerance in complex nonlinear systems. The most complete adaptive critic design, Globalized Dual ... 详细信息
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Monitoring seagrass health using neural networks
Monitoring seagrass health using neural networks
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International Joint Conference on Neural Networks (IJCNN)
作者: H. Ressom S.K. Fyfe P. Natarajan S. Srirangam Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Maine Orono ME USA School of Geosciences and Institute for Conservation Biology University of Wollongong Wollongong NSW Australia
Monitoring seagrass health gives vital clues about the estuarine water quality, which is crucial for the existence of many aquatic plants and animals. Photosynthetic efficiency is a measure of plant stress and can be ... 详细信息
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