921 search results - page 180 / 185 » Kernel Principal Component Analysis |
AC
2003
Springer
14 years 11 days ago
2003
Springer
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
MICAI
2000
Springer
14 years 8 days ago
2000
Springer
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
VLDB
2000
ACM
14 years 8 days ago
2000
ACM
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
ICMLA
2008
13 years 10 months ago
2008
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
ALMOB
2007
13 years 8 months ago
2007
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...