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Face recognition plays an every important role in security surveillance, secure access and identity authentication. In this paper, we propose a novel face recognition method based on supervised learning. Our method consists in first extracting face feature using a supervised spectral regression, then we use multiple kernel SVM to classify face. Experimental results on Yale B face database and AR face...
In this paper, the facial expression recognition (FER) is investigated based on the observation that a sequence of images of a certain facial expression define a smooth manifold. First, local binary pattern (LBP) algorithm is used to extract the local texture features of the expression images. Then, locally linear embedding (LLE) method is used to learn the structure of the expression manifold in...
Mining knowledge from large databases has been the focus of many recent studies and applications. Mining association rules in medical images is an important part in domain-specific application image mining because there are several technical aspects which make this problem challenging. In this paper, we firstly propose ROI extraction and clustering algorithm with domain knowledge constraint, then...
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