84 search results - page 4 / 17 » Revisiting Linear Discriminant Techniques in Gender Recognit... |
HIS
2001
13 years 9 months ago
2001
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
PAMI
2011
13 years 2 months ago
2011
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
MCS
2000
Springer
13 years 11 months ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
AMFG
2005
IEEE
14 years 1 months ago
2005
IEEE
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
MKM
2009
Springer
14 years 2 months ago
2009
Springer
Many approaches have been proposed over the years for the recognition of mathematical formulae from scanned documents. More recently a need has arisen to recognise formulae from PD...