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Mining Ancient Chinese corpus is not as convenient as mining modern Chinese, because tokenizers perform poorly on them for lack of a complete dictionary of ancient Chinese words. So finding an effective way to find all words of these texts is significant. In this paper, we treat unknown word detection as a binary classification task, and propose new effective features for classification, including...
Principal component analysis (PCA) is a popular tool in multivariate statistics and pattern recognition. Recently, some mixture models of local principal component analysis have attracted attention due to a number of benefits over global PCA. In this paper, we propose a mixture model by concurrently performing global data partition and local linear PCA. The partition is optimal or near optimal, which...
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