81 search results - page 2 / 17 » Multi-Class Linear Feature Extraction by Nonlinear PCA |
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...
NIPS
2003
13 years 6 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
PAMI
2012
11 years 7 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
IPCV
2008
13 years 6 months ago
2008
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...