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» Manifold Discriminant Analysis
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ISBI
2004
IEEE
14 years 10 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
SSPR
2004
Springer
14 years 3 months ago
Combining Classifier for Face Identification at Unknown Views with a Single Model Image
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Tae-Kyun Kim, Josef Kittler
CVPR
2008
IEEE
14 years 11 months ago
Robust unambiguous parametrization of the essential manifold
Analytic manifolds were recently used for motion averaging, segmentation and robust estimation. Here we consider the epipolar constraint for calibrated cameras, which is the most ...
Raghav Subbarao, Yakup Genc, Peter Meer
TNN
2010
149views Management» more  TNN 2010»
13 years 4 months ago
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
Wenming Zheng, Zhouchen Lin, Xiaoou Tang
ICPR
2008
IEEE
14 years 11 months ago
Generalized Nonlinear Discriminant Analysis
A Generalized Nonlinear Discriminant Analysis (GNDA) method is proposed, which implements Fisher discriminant analysis in a nonlinear mapping space. Linear discriminant analysis i...
Hua Zhang, Li Zhang, Licheng Jiao, Weida Zhou