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» High Accuracy Classification of EEG Signal
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ESANN
2006
13 years 9 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
PRL
2006
94views more  PRL 2006»
13 years 7 months ago
Improving visual evoked potential feature classification for person recognition using PCA and normalization
In earlier papers, it was shown that recognizing persons using their brain patterns evoked during visual stimulus is possible. In this paper, several modifications are proposed to...
Ramaswamy Palaniappan, K. V. R. Ravi
ICASSP
2011
IEEE
12 years 11 months ago
Novel beamformers for Multiple Correlated brain source localization and reconstruction
This paper introduces two novel beamforming algorithms, namely the Region Constrained and Multiple Correlated Source Model beamformers, designed to localize and to reconstruct hig...
Hung V. Dang, Kwong T. Ng, James K. Kroger
ICASSP
2010
IEEE
13 years 8 months ago
High precision frequency estimation for harpsichord tuning classification
We present a novel music signal processing task of classifying the tuning of a harpsichord from audio recordings of standard musical works. We report the results of a classificat...
Dan Tidhar, Matthias Mauch, Simon Dixon
NIPS
2001
13 years 9 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts