1148 search results - page 72 / 230 » Dimensionality Reduction with Image Data |
ICIAR
2004
Springer
15 years 3 months ago
2004
Springer
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
WSC
2004
14 years 11 months ago
2004
This paper investigates the adequacy of various principal components (p.c.) approaches as data reduction schemes for processing contingent claim valuations on baskets of equities....
IEEEMM
2007
14 years 9 months ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
IJCAI
2007
14 years 11 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
IWCIA
2004
Springer
15 years 3 months ago
2004
Springer
This paper describes a new algorithm of computing the convex hull of a 3-dimensional object. The convex hull generated by this algorithm stract polyhedron being described by a new ...