Epilepsy EEG Classification and Visualization using Linear Discriminate Analysis

2018 ◽  
Author(s):  
Jeng-Wei Lin
Keyword(s):  
Linear Discriminate Analysis ◽  
Discriminate Analysis ◽  
Eeg Classification

150 – Linear discriminate analysis applied to a multicenter first episode schizophrenia sample

2008 ◽  
Vol 98 ◽  
pp. 94-95
Author(s):  
S.C. Schulz ◽  
A.P. Georgopoulos ◽  
R.L. Gollub ◽  
N.C. Andreasen ◽  
B.C. Ho ◽  
...  
Keyword(s):  
First Episode ◽  
Linear Discriminate Analysis ◽  
Discriminate Analysis ◽  
First Episode Schizophrenia

The LBP Integrating Neighbor Pixels on Face Recognition

2013 ◽  
Vol 756-759 ◽  
pp. 3835-3840
Author(s):  
Wei Sheng Li ◽  
Long Chen
Keyword(s):  
Face Recognition ◽  
Local Structure ◽  
Original Data ◽  
Linear Discriminate Analysis ◽  
Discriminate Analysis ◽  
Structure Information ◽  
The Difference ◽  
Relationship Of ◽  
The Relationship

The traditional LBP only considers the difference between the center pixel and the neighbor pixels. In order to use the relationship of the center pixel and neighbor pixels, a manipulative texture method B_LBP is proposed in this paper, which integrates the grayscale intensity of neighbor pixels into traditional LBP. The method keeps the local structure information of original images and enhances the identification ability. LDA (Linear discriminate analysis) is used to reduce the dimensionality of the original data. The experiments are conducted on Yale B and CMU PIE face databases with B_LBP, LEP and LBP. The results show that the B_LBP is superior to the traditional LBP and LEP.

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