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» Manifold Discriminant Analysis
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SIGGRAPH
2010
ACM
14 years 1 months ago
Manifold bootstrapping for SVBRDF capture
Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms...
Yue Dong, Jiaping Wang, Xin Tong, John Snyder, Yan...
CVPR
2005
IEEE
14 years 12 months ago
Creating Invariance to "Nuisance Parameters" in Face Recognition
A major goal for face recognition is to identify faces where the pose of the probe is different from the stored face. Typical feature vectors vary more with pose than with identit...
Simon J. D. Prince, James H. Elder
ECML
2005
Springer
14 years 3 months ago
On Discriminative Joint Density Modeling
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
CVPR
2010
IEEE
14 years 4 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
MICCAI
2010
Springer
13 years 8 months ago
Endoscopic Video Manifolds
Postprocedural analysis of gastrointestinal (GI) endoscopic videos is a difficult task because the videos often suffer from a large number of poor-quality frames due to the motion...
Selen Atasoy, Diana Mateus, Joe Lallemand, Alexand...