72 search results - page 3 / 15 » Margin-based discriminant dimensionality reduction for visua... |
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...
ICPR
2000
IEEE
13 years 10 months ago
2000
IEEE
For many pattern recognition methods, high recognition accuracy is obtained at very high expense of computational cost. In this paper, a new algorithm that reduces the computation...