112 search results - page 7 / 23 » Linear Laplacian Discrimination for Feature Extraction |
CVPR
2009
IEEE
14 years 3 months ago
2009
IEEE
Linear discriminant analysis (LDA) has been successfully applied into computer vision and pattern recognition for effective feature extraction. High-dimensional objects such as im...
ICAISC
2010
Springer
13 years 10 months ago
2010
Springer
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
IJPRAI
2006
13 years 8 months ago
2006
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
IPCV
2008
13 years 9 months ago
2008
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...