发布求助
文献互助 智能选刊 最新文献

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)最新文献

筛选
英文 中文
Block dictionary learning with l0 regularization and its application in image denoising 10正则化块字典学习及其在图像去噪中的应用
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393041
Wei Xue, Wensheng Zhang
{"title":"Block dictionary learning with l0 regularization and its application in image denoising","authors":"Wei Xue, Wensheng Zhang","doi":"10.1109/FSKD.2017.8393041","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393041","url":null,"abstract":"Dictionary learning is aimed to learn a set of basic elements termed as atoms from a given training set, and these atoms form a dictionary. In this paper, we propose a block dictionary learning algorithm, called Mini-batch K-sparse Dictionary Learning (MKDL), by directly optimizing a K-sparse problem under the mini-batch setting. At each iteration of MKDL, only small-batch training samples are used to sparse coding and dictionary update stages. Particularly, iterative hard thresholding and projected gradient descent schemes are employed to optimize the two above-mentioned stages, respectively. Preliminary results on image denoising have much better performance than previous dictionary learning algorithms, which validates the effectiveness of our approach in convergence speed and denoising quality.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134001620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Multilingual and skew license plate detection based on extremal regions 基于极值区域的多语种倾斜车牌检测
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393386
Rongqiang Qian, Bailing Zhang, Frans Coenen, Yong Yue
{"title":"Multilingual and skew license plate detection based on extremal regions","authors":"Rongqiang Qian, Bailing Zhang, Frans Coenen, Yong Yue","doi":"10.1109/FSKD.2017.8393386","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393386","url":null,"abstract":"License Plate Detection (LPD) is an important component of many applications involving security and traffic surveillance. Despite current progress, lots of hurdles remain in the way of a robust LPD system. This is particularly true for the detection of license plates with different layouts and skew angles. In this paper, a novel LPD system is proposed for detecting English and Chinese license plates with large skew angles. The proposed system consists of three main stages: 1) a character proposal module to find candidate characters based on Extremal Regions (ERs); 2) feature extraction and classification relies on Convolutional Neural Network (CNN); 3) license plate detection by region linking. The new method much improves on the robustness of existing approaches by leaving out character segmentation. The performance of the proposed license plate localization algorithm is verified using different datasets of vehicle images, including a large field-captured dataset, a skew and tilt dataset, a 12 countries dataset and two benchmark datasets. For Chinese civilian vehicles, the accuracy of plate localization is over 98.3%.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"472 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133057046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Scheduling services for MANETs using genetic algorithms 基于遗传算法的manet调度服务
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392907
Marcelo Petri, Janine Kniess, R. S. Parpinelli
{"title":"Scheduling services for MANETs using genetic algorithms","authors":"Marcelo Petri, Janine Kniess, R. S. Parpinelli","doi":"10.1109/FSKD.2017.8392907","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8392907","url":null,"abstract":"This paper presents a genetic algorithm for resource scheduling in service discovery to MANETs operating in emergency scenarios. The shared resources could be ambulances or support cars. Through an appropriate model for scheduling resources, we aim to attend the greatest number of victims in the affected area. Performance evaluation results on the Network Simulator NS-3 confirm the effectiveness of genetic algorithm for resource scheduling when compared to the A-Star algorithm which is simple heuristic method, that prioritizing paths that seem to be leading closer to the goal.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125070150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An improved context adaptive hard-decision quantization algorithm 一种改进的上下文自适应硬决策量化算法
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393245
Xi Wei, Zhelei Xia
{"title":"An improved context adaptive hard-decision quantization algorithm","authors":"Xi Wei, Zhelei Xia","doi":"10.1109/FSKD.2017.8393245","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393245","url":null,"abstract":"The traditional Hard-Decision quantization is adopted in fixed offset, without considering the correlation between quantization coefficients, so that the quantitative performance is poor. To solve this problem, an improved Context Adaptive Hard-Decision quantization was proposed which introduces the coefficient correlation. Statistics out the quantitative offsets that corresponding non-zero coefficient segment when each coefficient is quantified and actual bit rate of each nonzero coefficient in quantization. Using Bayesian two value discrimination method calculates the best threshold value which can distinguish quantitative results and build up new threshold model, then use the new threshold model to adjust quantitative offsets dynamically. The experimental results show that the improved Context Adaptive Hard-Decision quantization model which takes the rate of nonzero coefficient segment into account is more efficient comparing with traditional hard-decision quantization.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125081463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Aircraft recognition based on feature points and invariant moments 基于特征点和不变矩的飞机识别
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393357
Jun Fu, B. He, Zimin Wang
{"title":"Aircraft recognition based on feature points and invariant moments","authors":"Jun Fu, B. He, Zimin Wang","doi":"10.1109/FSKD.2017.8393357","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393357","url":null,"abstract":"As the development of remote sensing satellite technology, the target recognition technology based on remote sensing image has become possible. The technology of remote sensing image can be widely used in military, science and technology, civil and other fields. At present, many scholars at home and abroad have done some research and made some progress. But in the actual research, remote sensing images have a variety of factors, such as background noise, occlusion, weather changes, the aircraft target recognition is very difficult, so how to improve the existing aircraft recognition accuracy and anti-jamming capability is the research focus. This paper presents an aircraft identification algorithm based on Harris-laplace corner, Zernike moments and Color invariant moments. The experimental results show that the proposed algorithm is able to identify a variety of aircraft targets, and its recognition accuracy is better than the reference.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The bounds of premium and a fuzzy insurance model under risk aversion utility preference 风险规避效用偏好下的保费界限及模糊保险模型
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392963
Y. Liu, Xiaozhong Li, Dan Wang, Lixin Cui
{"title":"The bounds of premium and a fuzzy insurance model under risk aversion utility preference","authors":"Y. Liu, Xiaozhong Li, Dan Wang, Lixin Cui","doi":"10.1109/FSKD.2017.8392963","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8392963","url":null,"abstract":"The potential loss is traditionally considered as a random variable. In recent years, the special risk insurances have developed gradually, but we cannot obtain enough historical data because of the new types of insurance products. Therefore, using probability to deal with these insurance problems has certain limitations. In this paper, the potential loss of insured is considered as a nonnegative fuzzy variable based on credibility theory. Firstly, we prove that the risk averse decision makers prefer a fixed risk more than a fuzzy risk having the same expected value. Then the feasible price area under fuzzy loss is discussed. Moreover, a fuzzy optimal insurance model is established and the stop loss insurance is proved to be the optimal policy for the risk averse decision makers. In addition, the equation for solving the optimal deductible is given. Finally, some numerical examples of special risk insurances are given to illustrate the use of the research conclusions.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130506266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The research and application of chaotic particle swarm optimization algorithm 混沌粒子群优化算法的研究与应用
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392909
Qiongqiong Hu, Huizhen Liu, Chengshui Niu, Meiyun Du, Yu-an Zhang, Yong Ge
{"title":"The research and application of chaotic particle swarm optimization algorithm","authors":"Qiongqiong Hu, Huizhen Liu, Chengshui Niu, Meiyun Du, Yu-an Zhang, Yong Ge","doi":"10.1109/FSKD.2017.8392909","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8392909","url":null,"abstract":"In order to achieve the image fuzzy enhancement and improve the quality of image, an image enhancement method based on chaotic particle swarm optimization(CPSO) algorithm has been proposed, which uses an chaotic particle swarm optimization algorithm with strong global optimization to optimize the image enhancement parameters. The experimental results show that the chaotic particle swarm algorithm enhances the image clarity and improves visual effect. Comparing with other improved particle swarm optimization algorithm, the effectiveness and feasibility of the chaotic particle swarm optimization algorithm have been proved.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129889766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Formal transforming approach of spatiotemporal data from XML to object-oriented database 时空数据从XML到面向对象数据库的形式化转换方法
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393029
Luyi Bai, Zhiyi Jia, Jiemin Liu, Lin Zhu
{"title":"Formal transforming approach of spatiotemporal data from XML to object-oriented database","authors":"Luyi Bai, Zhiyi Jia, Jiemin Liu, Lin Zhu","doi":"10.1109/FSKD.2017.8393029","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393029","url":null,"abstract":"With the popularity of XML applications, XML becomes the mainstream and the de-facto standard of information exchange and coding format. Since object-oriented (OO) database has a stronger ability to store data, many commercial data are stored in object-oriented database and the applications of object-oriented database are more and more wide. Consequently, it is significant to exchange data from XML to object-oriented database. Meanwhile, there are a lot of spatiotemporal data in real applications, which should be transformed from XML to object-oriented database, by means of combining the characteristics of XML and object-oriented database. In this paper, we propose the methodologies of transforming spatiotemporal data from XML to object-oriented database. In particular, in order to describe spatiotemporal XML DTD, we study the object-oriented schema. Furthermore, we focus on mapping functions and rules for the transformation.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127847917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Degree-correlaed vaccination in aymmetric interacting spreading dynamics 非对称相互作用传播动力学中的度相关疫苗接种
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393294
Quan-Hui Liu, Xiao-long Chen, Wei Wang
{"title":"Degree-correlaed vaccination in aymmetric interacting spreading dynamics","authors":"Quan-Hui Liu, Xiao-long Chen, Wei Wang","doi":"10.1109/FSKD.2017.8393294","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393294","url":null,"abstract":"Recently, the asymmetric interacting spreading of disease and disease information has attracted much attention. Most of existing studies have assumed that the individuals have the same response (i.e., the same immune probability) when they are aware of the disease. Here we introduce a model of degree-correlated vaccination behavior in the asymmetric interaction of disease and disease information spreading. By extensive simulations, it finds when the vaccination probability is more positive correlated with individual's degree, the inhibition effect of disease information on the spread of disease become less effective. We also find there exists an optimal correlation between the vaccination probability and individual's degree which can inhibit the spread of disease more effectively.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123347674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Automated vehicles: Multivariate analysis of drivers' take-over behaviour 自动驾驶汽车:驾驶员接管行为的多变量分析
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393147
Farida Saïd, C. Chauvin
{"title":"Automated vehicles: Multivariate analysis of drivers' take-over behaviour","authors":"Farida Saïd, C. Chauvin","doi":"10.1109/FSKD.2017.8393147","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393147","url":null,"abstract":"This paper presents a study carried out within the context of Level 3 automated driving. It aims to characterize drivers take-over behaviour by exploring quantitative data related to the driver's performance (vehicle data) and qualitative data (user experience expressed in post-activity interviews). For this purpose, several techniques of multivariate analysis were used such as clustering of variables and units. This study illustrates that user experience is associated with the magnitude of actions related to lateral and longitudinal control; positive experience being associated with smoother actions, whereas negative feelings were associated with rougher ones. Furthermore, two main driver's profiles emerged; they are described by two latent variables, one of which is quality of the actions. Future research will investigate the determinants of these profiles.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信