Feature extraction for on-line EEG classification using principal components and linear discriminants

1998 ◽  
Vol 36 (3) ◽  
pp. 309-314 ◽  
Author(s):  
K. Lugger ◽  
D. Flotzinger ◽  
A. Schlögl ◽  
M. Pregenzer ◽  
G. Pfurtscheller
Keyword(s):  
Feature Extraction ◽  
Principal Components ◽  
Eeg Classification ◽  
On Line ◽  
Linear Discriminants

On-line recognition of handwritten signatures by feature extraction of pen movements

1989 ◽  
Vol 20 (10) ◽  
pp. 1-14 ◽  
Author(s):  
Hideo Taguchi ◽  
Koichi Kiriyama ◽  
Eiji Tanaka ◽  
Katsuhiko Fujii
Keyword(s):  
Feature Extraction ◽  
On Line

Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification

2010 ◽  
pp. 26-33 ◽  
Author(s):  
Yoshikazu Washizawa ◽  
Hiroshi Higashi ◽  
Tomasz Rutkowski ◽  
Toshihisa Tanaka ◽  
Andrzej Cichocki
Keyword(s):  
Feature Extraction ◽  
Eeg Classification ◽  
Sample Weighting

scholarly journals Using control charts for on-line video summarisation

2019 ◽  
Vol 277 ◽  
pp. 01012 ◽  
Author(s):  
Clare E. Matthews ◽  
Paria Yousefi ◽  
Ludmila I. Kuncheva
Keyword(s):  
Feature Extraction ◽  
Control Chart ◽  
Control Charts ◽  
State Of The Art ◽  
Synthetic Data ◽  
New Method ◽  
Data Sets ◽  
On Line ◽  
Memory Constraints ◽  
Video Summarisation

Many existing methods for video summarisation are not suitable for on-line applications, where computational and memory constraints mean that feature extraction and frame selection must be simple and efficient. Our proposed method uses RGB moments to represent frames, and a control-chart procedure to identify shots from which keyframes are then selected. The new method produces summaries of higher quality than two state-of-the-art on-line video summarisation methods identified as the best among nine such methods in our previous study. The summary quality is measured against an objective ideal for synthetic data sets, and compared to user-generated summaries of real videos.

Automatic feature extraction using genetic programming: An application to epileptic EEG classification

2011 ◽  
Vol 38 (8) ◽  
pp. 10425-10436 ◽  
Author(s):  
Ling Guo ◽  
Daniel Rivero ◽  
Julián Dorado ◽  
Cristian R. Munteanu ◽  
Alejandro Pazos
Keyword(s):  
Feature Extraction ◽  
Genetic Programming ◽  
Eeg Classification ◽  
Automatic Feature Extraction
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