Pattern Classification of Visual Evoked Potentials Based on Parallel Factor Analysis

Author(s):  
Jie Li ◽  
Liqing Zhang ◽  
Qibin Zhao
2014 ◽  
Vol 494-495 ◽  
pp. 955-959 ◽  
Author(s):  
Wen Na Zhang ◽  
Guo Jun Qin ◽  
Niao Qing Hu

Data from sensor array are often arranged in three-dimension as sample × time × sensor. Traditional methods are mainly used for two-dimension data. When such methods are applied, some time-profile information will lost. To acquire the information of samples, sensors and times more exactly, parallel factor analysis (PARAFAC) is investigated to deal with three-way data array. Through the analysis and classification of three kinds of oil odor samples, the performance of PARAFAC in gas sensor array signal analysis is verified and validated.


2015 ◽  
Vol 12 (2) ◽  
pp. 026012 ◽  
Author(s):  
Laura Acqualagna ◽  
Sebastian Bosse ◽  
Anne K Porbadnigk ◽  
Gabriel Curio ◽  
Klaus-Robert Müller ◽  
...  

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