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A multi-taper based method for detecting significant activation patterns in a time series of observations at a single voxel, as measured with functional magnetic resonance imaging, is presented in this paper. The method involves testing for relations between the action frequencies and the hemodynamic response via non-parametric estimation of the spectral density of the time series and is used to locate...
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training, while making labeled samples is a time consuming and exhausting work. A semi-supervised LDA (SDA) has been proposed recently to enable training of LDA with partially labeled samples. In this paper, we first reformulate...
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