327 search results - page 38 / 66 » Dual-Space Linear Discriminant Analysis for Face Recognition |
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
KAIS
2006
13 years 8 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
PAMI
2011
13 years 3 months ago
2011
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
IJCV
2006
13 years 8 months ago
2006
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...