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检索条件"机构=Image Processing & Pattern Recognition Laboratory"
516 条 记 录,以下是271-280 订阅
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One-Class SVM assisted accurate tracking
One-Class SVM assisted accurate tracking
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ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC
作者: Keren Fu Chen Gong Yu Qiao Jie Yang Irene Guy Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai China Chalmers tekniska hogskola Goteborg SE
Recently, tracking is regarded as a binary classification problem by discriminative tracking methods. However, such binary classification may not fully handle the outliers, which may cause drifting. In this paper, we ... 详细信息
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BP Neural Networks with Harmony Search Method-based Training for Epileptic EEG Signal Classification
BP Neural Networks with Harmony Search Method-based Training...
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International Conference on Computational Intelligence and Security
作者: Xiao-Zhi Gao Jing Wang Jarno M.A. Tanskanen Rongfang Bie Ping Guo College of Information Engineering Shanghai Maritime University China laboratory of Image Processing and Pattern Recognition Beijinz Normal University China Tampereen yliopisto - Hervannan kampus Tampere Pirkanmaa FI
In this paper, the Harmony Search (HS)-based BP neural networks are used for the classification of the epileptic electroencephalogram (EEG) signals. It is well known that the gradient descent-based learning method can... 详细信息
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Classification of gothic and baroque architectural elements
Classification of gothic and baroque architectural elements
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International Conference on Systems, Signals and image processing, IWSSIP
作者: Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria
Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectu... 详细信息
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Iterative data adaptive anisotropic image filtering
Iterative data adaptive anisotropic image filtering
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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
作者: Yang, Chang-Cai Zheng, Xin-Yi Tian, Jin-Wen Shang, Ke Tian, Xin Hao, Wei Institute for Pattern Recognition and Artificial Intelligence Science and Technology on Multi-Spectral Information Processing Laboratory Huazhong University of Science and Technology Wuhan 430074 China Electrical Engineering and Renewable Energy School China Three Gorges University Yichang 443002 China Institute of Intelligent Vision and Image Information College of Computer and Information Technology China Three Gorges University Yichang 443002 China
This paper presents a novel data-adaptive anisotropic filtering technique built on top of an iterative scheme. This new technique can preserve the original significant structures while suppressing noises to the larges... 详细信息
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Epileptic EEG Signal Classification with ANFIS Based on Harmony Search Method
Epileptic EEG Signal Classification with ANFIS Based on Harm...
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International Conference on Computational Intelligence and Security
作者: Jing Wang X.Z. Gao Jarno M.A. Tanskanen Ping Guo Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China Department of Automation and Systems Technology Aalto University School of Electrical Engineering Finland Tampereen yliopisto - Hervannan kampus Tampere Pirkanmaa FI
In this paper, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for the classification of the epileptic electroencephalogram (EEG) signals. The ANFIS combines the adaptation capability of the neural networks ... 详细信息
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Experimental Comparison of Geometric, Arithmetic and Harmonic Means for EEG Event Related Potential Detection
Experimental Comparison of Geometric, Arithmetic and Harmoni...
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International Conference on Computational Intelligence and Security
作者: Jarno M.A. Tanskanen X.Z. Gao Jing Wang Ping Guo Jari A.K. Hyttinen Vassil S. Dimitrov Department of Biomedical Engineering Tampere University of Technology and BioMediTech Finland College of Information Engineering Shanghai Maritime University China Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China ATIPS Laboratory University of Calgary AB Canada
In this paper, we experimentally evaluate three different averaging methods for processing of electroencephalogram (EEG) event related potentials (ERPs) measured from scalp in response to repeated stimulus. In ERP app... 详细信息
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A hybrid method to segment common carotid arteries from 3D ultrasound images
A hybrid method to segment common carotid arteries from 3D u...
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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)
作者: Xin Yang Wanji He Jiaoying Jin Xuming Zhang Ming Yuchi Mingyue Ding State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence (IPRAI) Huazhong University of Science and Technology Wuhan Hubei China Image Processing and Intelligence Control Key Laboratory of Education Ministry of China S School of Life Science and Technology Huazhong University of Science and Technology Wuhan Hubei China
A hybrid method is used to evaluate atherosclerosis through a mathematical morphology approach and GVF-Snake method. Common carotid artery (CCA) segmentation requires outlining the intima and adventitia contours on th... 详细信息
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Software fault prediction framework based on aiNet algorithm
Software fault prediction framework based on aiNet algorithm
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2011 7th International Conference on Computational Intelligence and Security, CIS 2011
作者: Yin, Qian Luo, Ruiyi Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction. Because high... 详细信息
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Computation of the folkman number Fv(3,5;6)
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Journal of Combinatorial Mathematics and Combinatorial Computing 2012年 81卷 11-17页
作者: Shao, Zehui Liang, Meilian Pan, Linqiang Xu, Xiaodong School of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing China School of Mathematics and Information Science Guangxi University Nanning 530004 China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Guangxi Academy of Sciences Nanning Guangxi 530007 China
We prove that Fv(3,5;6) = 16, which solves the smallest open case of vertex Folkman numbers of the form Fv(3,k;k + 1). The proof uses computer algorithms.
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Sparse representation for multi-label image annotation
Sparse representation for multi-label image annotation
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2011 7th International Conference on Computational Intelligence and Security, CIS 2011
作者: Xu, Bingxin Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China
image annotation is the process of assigning proper keywords to describe the content of a given image, which can be regarded as a problem of multi-object image classification. In this paper, a general multi-label anno... 详细信息
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