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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
294 条 记 录,以下是131-140 订阅
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Double-Row Cascade Labeling Algorithm for Hyper-Scale Issue
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Procedia Engineering 2011年 15卷 4047-4051页
作者: Yebin Fan Hualong Zhao Department of Computer Science Huazhong University of Science and Technology National Key Laboratory of Science and Technology on Multi-Spectral Information Processing Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology
An efficient algorithm is presented to label the connected components in the case that the primary memory is smaller than the image data. Our algorithm uses only the memory of two image rows to label the huge image or... 详细信息
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Preliminary Design of a Terrain recognition System
Preliminary Design of a Terrain Recognition System
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society
作者: Fan Zhang Zheng Fang Ming Liu He Huang department of Electrical Computer and Biomedical Engineering University of Rhode Island National Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology
This paper aims to design a wearable terrain recognition system, which might assist the control of powered artificial prosthetic legs. A laser distance sensor and inertial measurement unit (IMU) sensors were mounted o... 详细信息
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Data classification on multiple manifolds
Data classification on multiple manifolds
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International Conference on pattern recognition
作者: Xiao, Rui Zhao, Qijun Zhang, David Shi, Pengfei Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Department of Computer Science Hongkong Polytechnic University Hongkong Hong Kong
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
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Evaluation of a new point clouds registration method based on group averaging features
Evaluation of a new point clouds registration method based o...
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International Conference on pattern recognition
作者: Temerinac-Ott, Maja Keuper, Margret Burkhardt, Hans Department of Pattern Recognition and Image Processing Institute of Computer Science Albert-Ludwigs-University of Freiburg Germany Albert-Ludwigs-University of Freiburg Germany
Registration of point clouds is required in the processing of large biological data sets. The tradeoff between computation time and accuracy of the registration is the main challenge in this task. We present a novel m... 详细信息
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Laplacian MinMax discriminant projection and its applications
Laplacian MinMax discriminant projection and its application...
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作者: Zheng, Zhonglong Chang, Xueping Yang, Jie Department of Computer Science Zhejiang Normal University Jinhua China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
A new algorithm, Laplacian MinMax Discriminant Projection (LMMDP), is proposed in this paper for supervised dimensionality reduction. LMMDP aims at learning a discriminant linear transformation. Specifically, we defin... 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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2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
作者: Xu, Bingxin Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 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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Feature data optimization with LVQ technique in semantic image annotation
Feature data optimization with LVQ technique in semantic ima...
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2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
作者: Jiang, Ziheng He, Jing Guo, Ping School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 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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Spatial direction estimation for multiple sound sources in reverberation environment
Spatial direction estimation for multiple sound sources in r...
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2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
作者: Li, Huakang Zhao, Qunfei Saji, Akira Tanno, Keita Huang, Jie School of Computer Science and Engineering University of Aizu Aizu-Wakamatsu 965-8580 Japan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China
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
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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, ISAC 2010
作者: Li, Huakang Saji, Akira Tanno, Keita Ma, Jun Huang, Jie Zhao, Qunfei School of Computer Science and Engineering University of Aizu Aizu-Wakamatsu 965-8580 Japan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 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
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3D deformable surfaces with locally self-adjusting parameters - A robust method to determine cell nucleus shapes
3D deformable surfaces with locally self-adjusting parameter...
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International Conference on pattern recognition
作者: Keuper, Margret Schmidt, Thorsten Padeken, Jan Heun, Patrick Palme, Klaus Burkhardt, Hans Ronneberger, Olaf Pattern Recognition and Image Processing Computer Science Department Freiburg University Germany Max-Planck Institute of Immunobiology Freiburg Germany University of Freiburg Germany Inst. of Biology II Freiburg Inst. for Advanced Studies - FRIAS University of Freiburg Germany
When using deformable models for the segmentation of biological data, the choice of the best weighting parameters for the internal and external forces is crucial. Especially when dealing with 3D fluorescence microscop... 详细信息
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