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With the rapid development of Internet communication technologies, misuse of online messages for illegal purpose has become increasingly serious. The anonymous nature of online messages makes identity tracing a critical problem. We proposed a model of online write print identification based on principal component analysis for identifying authorship of online-message. The model use principal component...
To reduce the classification errors of online handwritten Japanese character recognition, we propose a method for confusing characters discrimination with little additional costs. After building confusing sets by cross validation using a baseline quadratic classifier, a logistic regression (LR) classifier is trained to discriminate the characters in each set. The LR classifier uses subspace features...
Latent semantic indexing (LSI) is an effective technique for feature extraction in text mining, and supervised LSI (SLSI) algorithms have been proposed to exploit the class labels of training data. In this paper, we propose an iterative SLSI framework based on class selection. We show that a previous iterative SLSI algorithm is an instance of the framework. We also propose a method under our framework,...
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