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The common spatial pattern (CSP) is extensively used to extract discriminative feature from raw Electroencephalography (EEG) signals for motor imagery classification. The CSP is a statistical signal processing technique, which relies on sample based covariance matrix estimation to give discriminative information from raw EEG signals. The sample based estimation of covariance matrix becomes a problem...
Salient edge selection and time-varying regularization are two crucial techniques to guarantee the success of maximum a posteriori (MAP)-based blind deconvolution. However, the existing approaches usually rely on carefully designed regularizers and handcrafted parameter tuning to obtain satisfactory estimation of the blur kernel. Many regularizers exhibit the structure-preserving smoothing capability,...
Human head pose estimation is a hot topic in computer vision field, which can be used in video surveillance, Human Computer Interaction and so on. Active Shape Model is a template matching method, which is suitable for object localization and point based feature extraction. In this paper, we propose an algorithm based on Active Shape Model for head pose estimation. In the proposed algorithm, we firstly...
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