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The permutation conditional mutual information (PCMI) is proposed to estimate the directionality index between EEG signals. First, we demonstrate numerically that PCMI was a robust method to quantify the direction of information flow between time series from strongly and weakly coupled systems. Then, the PCMI method was applied to investigate the coupling direction between intracranial EEGs recorded...
A novel model is presented to address the problem of semantic clustering of geo-objects in very high resolution panchromatic satellite images. The proposed model combines a probabilistic topic model with a multiscale image representation into an automatic framework by embedding both document and scale selections. The probabilistic topic model is used to characterize the statistical distributions of...
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