Online regularized discriminant analysis

Abstract

Learning the signal statistics and calibration are essential procedures for supervised machine learning algorithms. For some applications, e.g ERP based brain computer interfaces, it might be important to reduce the duration of the calibration, especially for the ones requiring frequent training of the classifiers. However simply decreasing the number of… (More)
DOI: 10.1109/MLSP.2012.6349761

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Cite this paper

@article{Orhan2012OnlineRD, title={Online regularized discriminant analysis}, author={Umut Orhan and Ang Li and Deniz Erdogmus}, journal={2012 IEEE International Workshop on Machine Learning for Signal Processing}, year={2012}, pages={1-6} }