156 search results - page 9 / 32 » Generalized Principal Component Analysis (GPCA) |
SSDBM
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
DAC
2004
ACM
14 years 9 months ago
2004
ACM
Starting from a model of the within-die systematic variations using principal components analysis, a model is proposed for estimation of the parametric yield, and is then applied ...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
We have fabricated a PCA (Principal Component Analysis) learning network in a FPGA (Field Programmable Gate Array) by using an asynchronous PDM (Pulse Density Modulation) digital ...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...