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检索条件"机构=Image Processing and Intelligent & System Laboratory"
173 条 记 录,以下是111-120 订阅
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Semi-Analytic Gaussian Assumed Density Filter
Semi-Analytic Gaussian Assumed Density Filter
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2011 American Control Conference (ACC)
作者: Marco F. Huber Frederik Beutler Uwe D. Hanebeck Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB The Variable Image Acquisition and Processing Research Group Karlsruhe Germany U. D. Hanebeck are with the Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Institute for Anthropomatics Karlsruhe Institute (KIT) Karlsruhe Germany
For Gaussian Assumed Density Filtering based on moment matching, a framework for the efficient calculation of posterior moments is proposed that exploits the structure of the given nonlinear system. The key idea is a ... 详细信息
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Rule-based decision-making framework for knowledge-based anatomical landmark localization (K-BALL)
Rule-based decision-making framework for knowledge-based ana...
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IEEE International Symposium on Biomedical Imaging
作者: M.-R. Siadat H. Soltanian-Zadeh K. Elisevich Henry Ford Health System Radiology Image Analysis Laboratory Detroit MI USA Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Neurosurgery Henry Ford Health System Detroit MI USA
K-BALL is a general method for localization of anatomical phenomena of the same origin with natural discrepancies distributed over a reference space, e.g., human brain anatomical structures. In this paper, we focus on... 详细信息
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Multiresolution automatic segmentation of T1-weighted brain MR images
Multiresolution automatic segmentation of T1-weighted brain ...
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IEEE International Symposium on Biomedical Imaging
作者: M. Zeydabadi R.A. Zoroofi H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA
Automatic segmentation of brain tissues is crucial to many medical imaging applications. We use a multi-resolution analysis and a power transform to extend the well-known Gaussian mixture model expectation maximizatio... 详细信息
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Sport Video Classification Using an Ensemble Classifier
Sport Video Classification Using an Ensemble Classifier
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Iranian Machine Vision and image processing (MVIP)
作者: Mohamad Hoseyn Sigari Samaneh Abbasi Sureshjani Hamid Soltanian-Zadeh Control & Intelligent Processing Center of Excellence (CIPCE) School of Electrical & Computer Engineering College of Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI USA
Sport video classification is an application of video analysis which can be useful in video indexing and retrieval. In this article, a new method for sport video classification using ensemble classifier is proposed. T... 详细信息
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Observer-Based Robust Coordinated Tracking of Multi-Agent systems with Input Saturation
Observer-Based Robust Coordinated Tracking of Multi-Agent Sy...
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IEEE Annual Conference on Decision and Control
作者: Xiaoling Wang Housheng Su Xiaofan Wang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China
This paper addresses the robust semi-global coordinated tracking problem of multiple-input multiple-output (MIMO) multi-agent systems with input saturation and communication noise. A distributed observer-based coordin... 详细信息
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Coordinated obstacle avoidance with reduced interaction
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Neurocomputing 2014年 139卷 233-245页
作者: Jiaojie Li Wei Zhang Housheng Su Yupu Yang Hongtao Zhou Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Department of Measurement and Control Technology Shanghai Dian Ji University Shanghai 200240 China School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China
In this paper, we study the coordinated obstacle avoidance algorithm of multi-agent systems when only a subset of agents has obstacle dynamic information, or every agent has local interaction. Each agent can get parti... 详细信息
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MRSI brain tumor characterization using wavelet and wavelet packets feature spaces and artificial neural networks
MRSI brain tumor characterization using wavelet and wavelet ...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: A. Yazdan-Shahmorad H. Soltanian-Zadeh R.A. Zoroofi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA
Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for assessing biochemical fingerprint of tissue composition. The need to differentiate between normal and abnormal tissues and determine type... 详细信息
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Swarm aggregations of heterogeneous multi-agent systems
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International Journal of Control 2014年 第12期87卷 2594页
作者: Liang, Haili Su, Housheng Wang, Xiaofan Chen, Michael Z.Q. [a] Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China[b] School of Automation Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China[c] Department of Mechanical Engineering The University of Hong Kong Hong Kong
This paper investigates the problem of swarm aggregations of heterogeneous multi-agent systems. Comparing with the existing studies on swarm aggregations of homogeneous multi-agent systems, this paper is much more res... 详细信息
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Portrait image segmentation based on improved grabcut algorithm  6th
Portrait image segmentation based on improved grabcut algori...
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6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015
作者: Li, Shuai Zheng, Xiaohui Chen, Xianjun Zhan, Yongsong Key Laboratory of Cloud Computing and Complex System Guilin University of Electronic Technology Guilin Guangxi541004 China Guangxi Experiment Center of Information Science Guilin University of Electronic Technology Guilin Guangxi541004 China Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin Guangxi541004 China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin Guangxi541004 China Information Engineering School Haikou College of Economics Haikou Hainan571127
Traditional computer portrait caricature system mainly take the method that exaggerate and deform real images directly, that lead the facial image background also been deformed when exaggerate facial image. If in pret... 详细信息
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Feature-Based Approach to Fuse fMRI and DTI in Epilepsy Using Joint Independent Component Analysis
Feature-Based Approach to Fuse fMRI and DTI in Epilepsy Usin...
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Iranian Conference of Biomedical Engineering
作者: Amir Hosein Riazi Hamid Soltanian-Zadeh Gholam-Ali Hossein-Zadeh Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University College of Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University College of Engineering University of Tehran Tehran Iran & Image Analysis Laboratory Henry Ford Health System Detroit Michigan
Functional magnetic resonance imaging (fMRI) and structural MRI (sMRI) provide complementary information. Signal processing and statistical models may be used to fuse neuroimaging data across different imaging modalit... 详细信息
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