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Singular value decomposition (SVD) has been used widely in the literature to recover the missing entries of a matrix. The basic principle in such methods is to assume that the correlated data is distributed with a low-rank structure. The knowledge of the low-rank structure is then used to predict the missing entries. SVD is based on the assumption that the data (user ratings) are distributed on a...
Twitter has become a target platform on which spammers spread large amounts of harmful information. These malicious spamming activities have seriously threatened normal users' personal privacy and information security. An effective method for detecting spammers is to learn a classifier based on user features and social network information. However, social spammers often change their spamming strategies...
Nowadays consumers can obtain abundant information for products and service from online review resources, which can help them make decisions. Moreover, it motivates some manufactures to hire spammers writing fake reviews on some target products. How to detect spam review/reviewer is drawing more and more attention of e-commerce. In this paper, we construct a novel multi-edge graph model in which each...
In the process of medicine information extraction, there are many Named Entity (NE) need to be recognized But currently the research on identification of NE in the field of medicine, such as physician, hospital, disease, medicine NE etc. is rarely. So in this paper we present an new approach for Named Entity Recognition (NER) in the field of medicine based on Bootstrapping method This method primarily...
A hybrid license plate segmentation approach based on neural network is proposed, which is designed to work under complex acquisition conditions including unrestricted scene and lighting and a wide range of camera-car distances. The approach consists of four stages: preprocessing, candidate regions detecting, real vehicle license plate extracting, and character segmenting. Experiments have proved...
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