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As the development of modern industry, fault diagnosis technology is becoming one of the major issues. A novel fault diagnosis approach is presented for rolling bearing system based on support vector machine (SVM) in this paper. Data acquired for rotatory machinery has a large quantity as well as a high dimensionality, both principal component analysis (PCA) method and linear discriminant analysis...
This paper presents a multi-resolution masks based pattern matching method for person identification. The system is commenced with the construction of multi-resolution mask cluster pyramid, where the mask size is chosen depending on the distance between two eyes, computed from the detected face. Experimental results show the effectiveness of the system with significantly higher precision, recall rates...
This paper presents a hybrid pattern for Chinese Name Entity Recognition based on Maximum Entropy model. Firstly, Maximum Entropy model is an outstanding statistical model for its good integration of various constraints and its compatibility to Chinese Named Entity Recognition. Secondly, local features and global features are integrated in the hybrid model to get high performance. Thirdly, in order...
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