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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是4781-4790 订阅
Model order selection and cue combination for image segmentation
Model order selection and cue combination for image segmenta...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Rabinovich, Andrew Lange, Tilman Buhmann, Joachim M. Belongie, Serge Department of Computer Science and Engineering University of California San Diego San Diego CA 92093 United States Institute of Computational Science ETH Zurich CH-8050 Zurich Switzerland
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method for automatic model order selection a... 详细信息
来源: 评论
Using stationary-dynamic camera assemblies for wide-area video surveillance and selective attention
Using stationary-dynamic camera assemblies for wide-area vid...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Jain, Ankur Kopell, Dan Kakligian, Kyle Wang, Yuan-Fang Department of Computer Science University of California Santa Barbara CA 93106
In this paper, we present a prototype video surveillance system that uses stationary-dynamic (or master-slave) camera assemblies to achieve wide-area surveillance and selective focus-of-attention. We address two criti... 详细信息
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Efficient optimal kernel placement for reliable visual tracking
Efficient optimal kernel placement for reliable visual track...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Fan, Zhimin Yang, Ming Wu, Ying Hua, Gang Yu, Ting Department of Electrical and Computer Engineering Northwestern University
This paper describes a novel approach to optimal kernel placement in kernel-based tracking. If kernels are placed at arbitrary places, kernel-based methods are likely to be trapped in ill-conditioned locations, which ... 详细信息
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Spatial divide and conquer with motion cues for tracking through clutter
Spatial divide and conquer with motion cues for tracking thr...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Yin, Zhaozheng Collins, Robert Department of Computer Science and Engineering Pennsylvania State University
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from background is thus a critical step to en... 详细信息
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Satellite features for the classification of visually similar classes
Satellite features for the classification of visually simila...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Epshtein, Boris Ullman, Shimon Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot 71600 Israel
We show that the discrimination between visually similar classes often depends on the detection of so-called 'satellite features'. These are local features which are not informative by themselves, and can only... 详细信息
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Graph partitioning by spectral rounding: Applications in image segmentation and clustering
Graph partitioning by spectral rounding: Applications in ima...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Tolliver, David A. Miller, Gary L. Robotics Institute Carnegie Mellon University Pittsburgh PA 15213 Computer Science Department Carnegie Mellon University Pittsburgh PA 15213
We introduce a family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the prescribed number of components. At each iterat... 详细信息
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Impact of dynamics on subspace embedding and tracking of sequences
Impact of dynamics on subspace embedding and tracking of seq...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Moon, Kooksang Pavlović, Vladimir Department of Computer Science Rutgers University Piscataway NJ 08854
In this paper we study the role of dynamics in dimensionality reduction problems applied to sequences. We propose a new family of marginal auto-regressive (MAR) models that describe the space of all stable auto-regres... 详细信息
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Image denoising with shrinkage and redundant representations
Image denoising with shrinkage and redundant representations
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Elad, Michael Matalon, Boaz Zibulevsky, Michael Department of Computer Science Technion - Israel Institute of Technology Haifa 32000 Israel Department of Electrical Engineering
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's representation is enforced using a unit... 详细信息
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Multi-resolution patch tensor for facial expression hallucination
Multi-resolution patch tensor for facial expression hallucin...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Jia, Kui Gong, Shaogang Department of Computer Science Queen Mary University of London
In this paper, we propose a sequential approach to hallucinate/synthesize high-resolution images of multiple facial expressions. We propose an idea of multi-resolution tensor for super-resolution, and decompose facial... 详细信息
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Modeling and classifying breast tissue density in mammograms
Modeling and classifying breast tissue density in mammograms
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Bosch, Anna Muñoz, Xavier Oliver, Arnau Martí, Joan Computer Vision and Robotics Group University of Girona Campus Montilivi Girona
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsupervised manner, and second, we will u... 详细信息
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