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Semantic computing is an important task in the research of natural language processing. For the problem of the inaccurate conceptual graph matching, this paper proposed the algorithm based on Conceptual sub-Graph weight self-adjustment. Based on the in tensional logic model of Chinese concept connotation, using Recursive Conceptual Graph as knowledge representation method and combining with the computation...
On the basis of the traditional Naive Bayesian classification algorithm that just considered character of Chinese person name, we brought person name's up and down boundary words in it. In order to overcome the difficulty of boundary defining, we counted Chinese name's character frequency and boundary templates' frequency from tagged corpus. Then these recognized person names are used to match the...
Ear recognition, by using ear for identification recognition, is a kind of new biometric identification technology. Currently there are a lot of ear recognition methods based on 2D images, while 3D data can provide more information. 3D reconstruction methods based on multiple 2D images have a common difficult which is to extract corresponding feature points of different images. In this paper, SFS(Shape...
Poor eyesight is one of the common and frequently-occurring phenomenon among college students. College students' learning pressure is very great, the development of informationization is developed, most students surf the net frequently and so on, and these factors will affect the vision of college students. Based on the questionnaire of college students' vision and influence factors, this paper used...
To investigate the status of employee engagement and its effects on service performance in China hotel industry, the total of 402 samples are collected from full-time employees in 8 hotels in China by multiple employee engagement inventory (MEEI). The results show that the hotel employee engagement is significantly different with professional characteristics in age, education level, work position,...
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