Pattern Classification of Visual Evoked Potentials Based on Parallel Factor Analysis

2008 ◽  
pp. 571-575 ◽  
Author(s):  
Jie Li ◽  
Liqing Zhang ◽  
Qibin Zhao
Keyword(s):  
Factor Analysis ◽  
Evoked Potentials ◽  
Pattern Classification ◽  
Visual Evoked Potentials ◽  
Parallel Factor Analysis ◽  
Parallel Factor ◽  
Visual Evoked

Parallel Factor Analysis for Gas Sensor Array Signals

2014 ◽  
Vol 494-495 ◽  
pp. 955-959 ◽  
Author(s):  
Wen Na Zhang ◽  
Guo Jun Qin ◽  
Niao Qing Hu
Keyword(s):  
Factor Analysis ◽  
Gas Sensor ◽  
Sensor Array ◽  
Parallel Factor Analysis ◽  
Time Profile ◽  
Three Dimension ◽  
Gas Sensor Array ◽  
Parallel Factor ◽  
Sample Time

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.

scholarly journals EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs)

2015 ◽  
Vol 12 (2) ◽  
pp. 026012 ◽  
Author(s):  
Laura Acqualagna ◽  
Sebastian Bosse ◽  
Anne K Porbadnigk ◽  
Gabriel Curio ◽  
Klaus-Robert Müller ◽  
...  
Keyword(s):  
Steady State ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Video Quality ◽  
Quality Perception ◽  
Visual Evoked
Sign in / Sign up

Export Citation Format

Share Document