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检索条件"机构=Department of Computer Vision and Pattern Recognition"
288 条 记 录,以下是261-270 订阅
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Classifiability based omnivariate decision trees
Classifiability based omnivariate decision trees
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International Joint Conference on Neural Networks (IJCNN)
作者: Y. Li M. Dong Machine Vision and Pattern Recognition Laboratory Department of Computer Science Wayne State University Detroit MI USA
Decision trees represent a simple and powerful method of induction from labeled examples. Univariate decision trees consider the value of a single attribute at each node, leading to the splits that are parallel to the... 详细信息
来源: 评论
Communication via eye blinks and eyebrow raises: Video-based human-computer interfaces
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Universal Access in the Information Society 2003年 第4期2卷 359-373页
作者: Grauman, K. Betke, M. Lombardi, J. Gips, J. Bradski, G.R. Vision Interface Group AI Laboratory Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Computer Science Department Boston University 111 Cummington St BostonMA02215 United States EagleEyes Computer Science Department Boston College Fulton Hall Chestnut HillMA02467 United States Vision Graphics and Pattern Recognition Microcomputer Research Laboratory Intel Corporation SC12-303 2200 Mission College Blvd Santa ClaraCA95054-1537 United States
Two video-based human-computer interaction tools are introduced that can activate a binary switch and issue a selection command. "BlinkLink," as the first tool is called, automatically detects a user's e... 详细信息
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Analyzing dividend events with neural network rule extraction
Analyzing dividend events with neural network rule extractio...
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International Joint Conference on Neural Networks (IJCNN)
作者: M. Dong Xu-Shen Zhou Machine Vision and Pattern Recognition Laboratory Department of Computer Science Wayne State University Detroit MI USA Department of Finance and Legal Studies College of Business Bloomsburg University Bloomsburg PA USA
Over the last two decades, artificial neural networks (ANN) have been applied to solve a variety of problems such as pattern classification and function approximation. In many applications, it is desirable to extract ... 详细信息
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Motion competition: Variational integration of motion segmentation and shape regularization
Motion competition: Variational integration of motion segmen...
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24th German Association for pattern recognition Symposium, DAGM 2002
作者: Cremers, Daniel Schnörr, Christoph Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim MannheimD–68131 Germany
We present a variational method for the segmentation of piecewise affine flow fields. Compared to other approaches to motion segmentation, we minimize a single energy functional both with respect to the affine motion ... 详细信息
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Combining the advantages of local and global optic flow methods
Combining the advantages of local and global optic flow meth...
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24th Symposium of the German pattern recognition Association, DAGM 2002
作者: Bruhn, Andres Weickert, Joachim Schnorr, Christoph Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University 66041 Saarbrücken Germany Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim 68131 Mannheim Germany
Differential methods are frequently used techniques for optic flow computations. They can be classified into local methods such as the Lucas-Kanade technique or Bigün's structure tensor method, and into globa... 详细信息
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Multiple objects segmentation based on maximum-likelihood estimation and optimum entropy-distribution(MLE-OED)
Multiple objects segmentation based on maximum-likelihood es...
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16th International Conference on pattern recognition, ICPR 2002
作者: Jun, Xie Tsui, H.T. Deshen, Xia Image Processing and Computer Vision Lab Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Pattern Recognition Lab Department of Computer Science Nanjing University of Sci.andTech. China
A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func... 详细信息
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Head detection and localization from sparse 3D data
Head detection and localization from sparse 3D data
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24th German Association for pattern recognition Symposium, DAGM 2002
作者: Clabian, Markus Rötzer, Harald Bischof, Horst Kropatsch, Walter Advanced Computer Vision GmbH Donau City Str.1 ViennaA-1220 Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 GrazA-8010 Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Computer Science Department Vienna University of Technology Favoritenstr. 9 ViennaA-1040 Austria
Head detection is an important, but difficult task, if no restrictions such as static illumination, frontal face appearance or uniform background can be assumed. We present a system that is able to perform head detect... 详细信息
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Designing 3-D nonlinear diffusion filters for high performance cluster computing
Designing 3-D nonlinear diffusion filters for high performan...
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24th German Association for pattern recognition Symposium, DAGM 2002
作者: Bruhn, Andrés Jakob, Tobias Fischer, Markus Kohlberger, Timo Weickert, Joachim Brüning, Ulrich Schnörr, Christoph Mathematical Image Analysis Group Mathematics and Computer Science Saarland University Building 27.1 Saarbrücken66041 Germany Computer Architecture Group Department of Mathematics and Computer Science University of Mannheim Mannheim68131 Germany Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim Mannheim68131 Germany
This paper deals with parallelization and implementation aspects of PDE based image processing models for large cluster environments with distributed memory. As an example we focus on nonlinear isotropic diffusion fil... 详细信息
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Multiple objects segmentation based on Maximum-likelihood Estimation and Optimum Entropy-distribution(MLE-OED)
Proceedings - International Conference on Pattern Recognitio...
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Proceedings - International Conference on pattern recognition 2002年 第1期16卷 707-710页
作者: Jun, Xie Tsui, H.T. Deshen, Xia Image Processing and Computer Vision Lab Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Pattern Recognition Lab Department of Computer Science Nanjing University of Sci. and Tech. China
A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func... 详细信息
来源: 评论
Multiple objects segmentation based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED)
Multiple objects segmentation based on maximum-likelihood es...
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International Conference on pattern recognition
作者: Xie Jun H.T. Tsui Xia Deshen Image Processing and Computer Vision Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China Pattern Recognition Laboratory Department of Computer Science Nanjing University of Science and Technology China
A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func... 详细信息
来源: 评论