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Study on Different Representation Methods for Subspace Segmentation
Jiangshu Wei,Mantao Wang,Qianqian Wu 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.1
With many engineering and science application problems, we must deal with a lot of high-dimensional data, such as videos, images, web documents, text, etc. In the areas of computer vision, image processing and machine learning, high-dimensional data are widespread. However, it is very hard for obtaining meaningful learning and inference from these high-dimensional data directly, the computational complexity of high-dimensional data is often exponential. However, under many conditions, high-dimensional data lie in low-dimensional data corresponding to some classes of the data. Thus, finding the low-dimensional structure from the high-dimensional data is very important. The aim of subspace segmentation is to cluster data that lie in a union of low-dimensional subspaces. In recent years, based on the research of representation methods, many subspace segmentation algorithms appeared. Although these methods are all effective for handling subspace segmentation problems, they all have advantages and disadvantages. This paper focuses on the performance comparison of different subspace segmentation algorithms currently used in handling subspace segmentation problems and views other conventional methods that can be applied in this field.
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Research on Different Representation Methods for Classification
Jiangshu Wei,Xiangjun Qi,Mantao Wang 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12
Under today’s big data environment, with the rapid development of computer network technology and information technology, data mining is becoming more and more important in computer science. Classification is one of the most important aspects in data mining research Field. Recently, representation methods, such as sparse representation and low rank representation, have been much concerned. They both have wide applications in scientific and engineering fields. However, sparse representation and low rank representation include many methods, although these methods have their own characteristics, they are all effective for handling classification problems. This paper focuses on the performance comparison of different representation methods currently used in handling classification problems and views other conventional methods that can be applied in this field.
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Risk Factors of Acoustic Neuroma: Systematic Review and Meta-Analysis
Xiujue Zheng,Mantao Chen,Zuoxu Fan,Fei Cao,Liang Wang 연세대학교의과대학 2016 Yonsei medical journal Vol.57 No.3
Purpose: Many epidemiological studies have investigated environmental risk factors for the development of acoustic neuroma. However, these results are controversial. We conducted a meta-analysis of case-control studies to identify any potential relationshipbetween history of noise exposure, smoking, allergic diseases, and risk of acoustic neuroma. Materials and Methods: We searched PubMed to identify relevant articles. Two researchers evaluated the eligibility and extracted the data independently. Results: Eleven case-control studies were included in our meta-analysis. Acoustic neuroma was found to be associated with leisurenoise exposure [odds ratio (OR)=1.33, 95% confidence interval (CI): 1.05–1.68], but not with occupational noise exposure and ever noise exposure (OR=1.20, 95% CI: 0.84–1.72 and OR=1.15, 95% CI: 0.80–1.65). The OR of acoustic neuroma for ever (versus never) smoking was 0.53 (95% CI: 0.30–0.94), while the subgroup analysis indicated ORs of 0.95 (95% CI: 0.81–1.10) and 0.49 (95% CI: 0.41–0.59) for ex-smoker and current smoker respectively. The ORs for asthma, eczema, and seasonal rhinitis were 0.98 (95% CI: 0.80–1.18), 0.91 (95% CI: 0.76–1.09), and 1.52 (95% CI: 0.90–2.54), respectively. Conclusion: Our meta-analysis is suggestive of an elevated risk of acoustic neuroma among individuals who were ever exposed to leisure noise, but not to occupational noise. Our study also indicated a lower acoustic neuroma risk among ever and current cigarettesmokers than never smokers, while there was no significant relationship for ex-smokers. No significant associations were found between acoustic neuroma and history of any allergic diseases, such as asthma, eczema, and seasonal rhinitis.
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User Identity Authentication Based on the Combination of Mouse and Keyboard Behavior
Haitao Tang,Wang Mantao 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.6
In order to improve the recognition rate of user identity authentication system, a user identity authentication method based on the combination of mouse and keyboard behavior is proposed. First of all, the characteristics of the two indicators of the mouse and keyboard are extracted, and then realizing the use of support to the rationale for the establishment of an identity authentication device, and finally test through a number of user identification and authentication. The results show that this method can improve the recognition rate of the user identity authentication, which greatly reduces the error rate and rejection rate and the results are obviously superior to the traditional method.
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