1866 search results - page 149 / 374 » A Computational Journey into Nonlinearity |
161
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
186
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. In Computer Vision applications, one usually has to work with uncertain data. It is therefore important to be able to deal with uncertain geometry and uncertain transform...
153
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ACCV
2009
Springer
16 years 1 months ago
2009
Springer
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
195
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ICCV
2007
IEEE
16 years 26 days ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
202
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ICIP
2005
IEEE
16 years 4 days ago
2005
IEEE
Averaging, filtering and interpolation of 3-D object orientation data is important in both computer vision and computer graphics, for instance to smooth estimates of object orien...