97 search results - page 9 / 20 » Principle component analysis and its variants for biometrics |
FGR
2000
IEEE
13 years 11 months ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
ICB
2007
Springer
13 years 9 months ago
2007
Springer
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. This paper introduces the application of the feature transformation approach proposed by Torkkola [1] to the domain of image processing. Thereto, we extended the approach...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
ASIAMS
2008
IEEE
13 years 9 months ago
2008
IEEE
The paper elaborates upon the interim results achieved in resolving a few newly discovered 16th century letters now alleged to be written by Queen Mary of Scots (QMS). Despite the...