125 search results - page 3 / 25 » Rotational Linear Discriminant Analysis Technique for Dimens... |
KDD
2010
ACM
13 years 7 months ago
2010
ACM
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
AUSDM
2007
Springer
13 years 11 months ago
2007
Springer
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
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...
ECCV
2004
Springer
14 years 7 months ago
2004
Springer
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
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...