543 search results - page 77 / 109 » Nonlinear principal component analysis of noisy data |
174
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ICIC
2005
Springer
15 years 11 months ago
2005
Springer
Dimension reduction is a crucial step for pattern recognition and information retrieval tasks to overcome the curse of dimensionality. In this paper a novel unsupervised linear dim...
210
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FGR
2000
IEEE
15 years 10 months ago
2000
IEEE
This paper describes a framework for constructing a linear subspace model of image appearance for complex articulated 3D figures such as humans and other animals. A commercial mo...
154
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FLAIRS
2010
15 years 8 months ago
2010
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
169
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NIPS
2008
15 years 7 months ago
2008
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
139
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BMVC
2000
15 years 7 months ago
2000
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...