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ICIP
2010
IEEE
14 years 7 months ago
Image analysis with regularized Laplacian eigenmaps
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
Frank Tompkins, Patrick J. Wolfe
58
Voted
SIAMCO
2008
72views more  SIAMCO 2008»
14 years 9 months ago
Mesh Independence of Kleinman--Newton Iterations for Riccati Equations in Hilbert Space
In this paper we consider the convergence of the infinite dimensional version of the Kleinman
John A. Burns, Ekkehard W. Sachs, Lizette Zietsman
ACCV
2007
Springer
15 years 3 months ago
Interpolation Between Eigenspaces Using Rotation in Multiple Dimensions
We propose a method for interpolation between eigenspaces. Techniques that represent observed patterns as multivariate normal distribution have actively been developed to make it r...
Tomokazu Takahashi, Lina, Ichiro Ide, Yoshito Meka...
ICCV
2005
IEEE
15 years 11 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...