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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
298 条 记 录,以下是141-150 订阅
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Spatial Direction Estimation for Multiple Sound Sources in reverberation environment
Spatial Direction Estimation for Multiple Sound Sources in r...
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IEEE International Conference on Robotics and Biomimetics
作者: Huakang Li Qunfei Zhao Akira Saji Keita Tanno Jie Huang School of Computer Science and Engineering University of Aizu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University
In this paper, we propose spatial localization of multiple sound sources using a spherical robot head equipped with four microphones. We obtain arrival time differences using phase difference candidates. Based on the ... 详细信息
来源: 评论
Data Classification on Multiple Manifolds
Data Classification on Multiple Manifolds
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International Conference on pattern recognition
作者: Rui Xiao Qijun Zhao David Zhang Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Department of Computer Science Hong Kong Polytechnic University Hong Kong China
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside on different manifolds of possible dif... 详细信息
来源: 评论
The method of image restoration in the environments of dust
The method of image restoration in the environments of dust
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International Conference on Mechatronics and Automation
作者: Wang, Yuanyu Li, Yuanzong Zhang, Tianxu Department of Computer Fundamental Education TaiYuan University of Technology TaiYuan CO 030024 China College of Mechanical Engineering TaiYuan University of Technology TaiYuan CO 030024 China Institute for Pattern Recognition and A.I. State Key Laboratory of Image Processing and Intelligent Control HuaZhong University of Science and Technology WuHan CO 430074 China
In order to solve the problem of image degradation caused by dust environments, an image degradation model considering multiple scattering factors caused by dust was first established using the first-order multiple sc... 详细信息
来源: 评论
Feature data optimization with LVQ technique in semantic image annotation
Feature data optimization with LVQ technique in semantic ima...
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International Conference on Intelligent Systems Design and Applications (ISDA)
作者: Ziheng Jiang Jing He Ping Guo School of Computer Science and Technology Beijing Institute of Technology Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
In order to improve the classifier performance in semantic image annotation, we propose a novel method which adopts learning vector quantization (LVQ) technique to optimize low level feature data extracted from given ... 详细信息
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Kernel ICA applied to feature extraction for image annotation
Kernel ICA applied to feature extraction for image annotatio...
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International Conference on Intelligent Systems Design and Applications (ISDA)
作者: Bingxin Xu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China The School of Computer Science and Technology Beijing Institute of Technology Beijing China
In automatic image annotation, it is often extracting low-level visual features from original image for the purpose of mapping to high level image semantic information. In this paper, we propose a novel method which i... 详细信息
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Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies
Modeling multi-source remote sensing image classifier based ...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Huaiying Xia Rukun Hu Bingxin Xu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China
In classification of multi-source remote sensing image, it is usually difficult to obtain higher classification accuracy. In the previous work, the modeling technique for the remote sensing image classification based ...
来源: 评论
Spatial localization of concurrent multiple sound sources
Spatial localization of concurrent multiple sound sources
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2010 2nd International Symposium on Aware Computing
作者: Huakang Li Akira Saji Keita Tanno Jun Ma Jie Huang Qunfei Zhao School of Computer Science and Engineering University of Aizu Aizu-Wakamatsu Japan Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
Based on the human auditory system for spatial localization theory, we proposed a spatial localization of multiple sound sources using a spherical robot head. Space sound vectors recorded by a microphone array with sp... 详细信息
来源: 评论
A novel method of fingerprint minutiae extraction based on Gabor phase
A novel method of fingerprint minutiae extraction based on G...
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IEEE International Conference on image processing
作者: Xin Gao Xiaoguang Chen Jia Cao Zirui Deng Chongjin Liu Jufu Feng Key Laboratory of Machine Perception MOE Department of Machine Intelligence School of Electronics Engineering and Computer Science Peking University Beijing China Institute of Image Processing and Pattern Recognition North-China University of Technology Beijing China
In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transfor... 详细信息
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Prediction of protein folding rates from structural topology and complex network properties
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IPSJ Transactions on Bioinformatics 2010年 3卷 40-53页
作者: Song, Jiangning Takemoto, Kazuhiro Shen, Hongbin Tan, Hao Gromiha, M. Michael Akutsu, Tatsuya Bioinformatics Center Institute for Chemical Research Kyoto University Japan Department of Biochemistry and Molecular Biology Monash University Australia PRESTO Japan Science and Technology Agency Japan Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Computational Biology Research Center National Institute of Advanced Industrial Science and Technology Japan
As a fundamental biological problem, revealing the protein folding mechanism remains to be one of the most challenging problems in structural bioinformatics. Prediction of protein folding rate is an important step tow... 详细信息
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A novel line based connected component labeling algorithm
A novel line based connected component labeling algorithm
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International Conference on computer science and Information Technology (CSIT)
作者: Yebin Fan Shengsheng Yu Hualong Zhao Department of Computer Science Huazhong University of Science and Technology Wuhan China National Key Laboratory of Science and Technology on Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China
This paper presents a fast connected component labeling algorithm based on line description method and optimized tree Union-Find strategy. The algorithm transforms the pixel-connected issue, which most of proposed alg... 详细信息
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