6 search results - page 1 / 2 » Generalization Bounds for Subspace Selection and Hyperbolic ... |
SLSFS
2005
Springer
13 years 10 months ago
2005
Springer
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, we propose a robust model selection criterion for mixtures of subspaces called minimum effective dimension (MED). Previous information-theoretic model selection cri...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...