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» Classification of Brain-Computer Interface Data
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ICASSP
2007
IEEE
15 years 3 months ago
A Self-Training Semi-Supervised Support Vector Machine Algorithm and its Applications in Brain Computer Interface
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
Yuanqing Li, Huiqi Li, Cuntai Guan, Zhengyang Chin
93
Voted
DAGM
2007
Springer
15 years 3 months ago
Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces
Research on EEG based brain-computer-interfaces (BCIs) aims at steering devices by thought. Even for simple applications, BCIs require an extremely effective data processing to wo...
Christian Liefhold, Moritz Grosse-Wentrup, Klaus G...
75
Voted
ICANN
2005
Springer
15 years 3 months ago
Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances
Abstract. This paper addresses the problem of signal responses variability within a single subject in P300 speller Brain-Computer Interfaces. We propose here a method to cope with ...
Alain Rakotomamonjy, Vincent Guigue, G. Mallet, V....
NIME
2005
Springer
147views Music» more  NIME 2005»
15 years 3 months ago
Toward Direct Brain-Computer Musical Interfaces
Musicians and composers have been using brainwaves as generative sources in music for at least 40 years and the possibility of a brain-computer interface for direct communication ...
Eduardo Reck Miranda, Andrew Brouse
ICML
2005
IEEE
15 years 10 months ago
A brain computer interface with online feedback based on magnetoencephalography
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
Bernhard Schölkopf, Hubert Preißl, J&uu...