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161
Voted
PAMI
2008
15 years 3 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...
133
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CVPR
2004
IEEE
16 years 5 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...
127
Voted
GRAPHITE
2007
ACM
15 years 7 months ago
2007
ACM
We present a data-driven technique for generating the precomputed radiance transfer vectors of an animated character as a function of its joint angles. We learn a linear model for...
148
Voted
ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
115
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DATE
2009
IEEE
15 years 10 months ago
2009
IEEE
— Today's innovations in the automotive sector are, to a great extent, based on electronics. The increasing integration complexity and stringent cost reduction goals turn E/...