1051 search results - page 10 / 211 » An algorithm for the principal component analysis of large d... |
BMCBI
2006
13 years 8 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
TNN
2008
13 years 7 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We investigate reducing the dimensionality of image sets by using principal component analysis on wavelet coefficients to maximize edge energy in the reduced dimension images. Lar...
IEEEARES
2006
IEEE
14 years 2 months ago
2006
IEEE
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...