Output details
11 - Computer Science and Informatics
University of Ulster
Article title
A time–frequency convolutional neural network for the offline classification of steady-state visual evoked potential responses
Type
D - Journal article
Title of journal
Pattern Recognition Letters
Article number
-
Volume number
32
Issue number
8
First page of article
1145
ISSN of journal
01678655
Year of publication
2011
URL
-
Number of additional authors
0
Additional information
<24>This work was carried out under the Marie Curie European Transfer of Knowledge grant BrainRobot, to increase the reliability of BCI commands. The new convolutional neural network architecture presented has been adapted subsequently for the detection of multi-oriented shapes (work presented at the International Conference of Document Analysis and Recognition 2013). In particular, the approach has been tested for the recognition of handwritten digits in Bangla (an Indian script). The approach is still an active research topic for the creation of features that are invariant to geometric deformations.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Intelligent Systems Research Centre
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
