1789 search results - page 66 / 358 » Genetic Algorithms for Component Analysis |
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
114
click to vote
NIPS
2008
15 years 1 months ago
2008
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
BMCBI
2008
14 years 12 months ago
2008
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known...
110
click to vote
KDD
2006
ACM
16 years 8 days ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...