156 search results - page 28 / 32 » Generalized Principal Component Analysis (GPCA) |
PR
2006
13 years 7 months ago
2006
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
PRL
2002
13 years 7 months ago
2002
: Recently, a method called (PC)2 A was proposed to deal with face recognition with one training image per person. As an extension of the standard eigenface technique, (PC)2 A comb...
BMCBI
2006
13 years 7 months ago
2006
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
MM
2006
ACM
14 years 1 months ago
2006
ACM
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
ICSE
2005
IEEE-ACM
14 years 7 months ago
2005
IEEE-ACM
Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...