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Relation extraction is very useful for many applications and has attracted much attention. The dominant prior methods for relation extraction were supervised methods which are relation-specific and limited by the availability of annotated training data. In this paper, we propose a method using hierarchical clustering to extract unbounded relations without relying on training data. The relation among...
A novel control scheme for binocular robotic visual tracking problem is proposed. First we obtain the parallel configuration using rotation matrix and translational vector which can be both derived by corresponding points. Second, the binocular vision system provide the position in space and the references are used to estimate the transformation matrix to predict the image motion of the virtually...
Over the last years significant effort has been made to improve the performance of speech recognition. The Fisher Kernel has been suggested as good ways to combine and underlying generative model in the feature space and discriminant classifiers such as SVMs. Chinese name speech patterns are difficult to be classified especially when they are similar in pronunciation. Continuous density hidden Markov...
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