543 search results - page 77 / 109 » Nonlinear principal component analysis of noisy data |
100
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ICIC
2005
Springer
15 years 3 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...
105
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FGR
2000
IEEE
15 years 2 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...
FLAIRS
2010
14 years 12 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...
NIPS
2008
14 years 11 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...
BMVC
2000
14 years 11 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...