154 search results - page 15 / 31 » Incremental Nonlinear Dimensionality Reduction by Manifold L... |
101
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
We propose methods for outlier handling and noise reduction using weighted local linear smoothing for a set of noisy points sampled from a nonlinear manifold. The methods can be u...
129
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PAMI
2008
14 years 11 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
132
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TIP
2010
14 years 6 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
DAGM
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
125
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AMFG
2005
IEEE
15 years 5 months ago
2005
IEEE
We introduce a novel framework for automatic 3D facial expression analysis in videos. The preliminary results were demonstrated by editing the facial expression with facial recogni...