7 search results - page 1 / 2 » An empirical study of facial components classification by in... |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
FSKD
2005
Springer
14 years 2 months ago
2005
Springer
Although many systems exist for automatic classification of faces according to their emotional expression, these systems do not explicitly estimate the strength of given expression...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
BMCBI
2010
13 years 8 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...