发布求助
文献互助 智能选刊 最新文献

2012 International Conference on Machine Learning and Cybernetics最新文献

筛选
英文 中文
Computing the set of concepts through the composition and decomposition of formal contexts 通过形式上下文的组合和分解计算概念集
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6359557
Jianjun Qi, W. Liu, Ling Wei
{"title":"Computing the set of concepts through the composition and decomposition of formal contexts","authors":"Jianjun Qi, W. Liu, Ling Wei","doi":"10.1109/ICMLC.2012.6359557","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6359557","url":null,"abstract":"This paper studies the computation of concepts through the composition and decomposition of formal contexts. Under the cases of apposition and subposition, the paper proposes the composition theory to obtain the concepts of the original contexts from its subcontexts and proposes decomposition theory to obtain the concepts of subcontexts from the original context Finally, the composition and decomposition theories are generalized to situations of apposition and subposition involving n(≥ 3) contexts.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114509674","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: 10
Comparative study of financial distress prediction via op timized SVM 基于优化支持向量机的财务困境预测比较研究
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6358968
Chun-Mei Liu
{"title":"Comparative study of financial distress prediction via op timized SVM","authors":"Chun-Mei Liu","doi":"10.1109/ICMLC.2012.6358968","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6358968","url":null,"abstract":"This paper investigates the development and modeling problem for financial distress prediction via optimized support vector machine (SVM). Based on parameters optimization and model selection idea, the swarm intelligence algorithm of Particle Swarm Optimization (PSO)-SVM is proposed for financial distress predicting process with strong coupling and nonlinear characteristics through the principle component analysis (PCA). Furthermore, Logistic regression (LR) algorithm is induced to make a comparison with Least-Square support vector machine (LS-SVM) and PSO-SVM. The simulation results show that the presented algorithms could get the satisfied accuracy effectively, and by contrast, PSO-SVM shows a better learning ability and generalization in financial distress predicting process modeling, and could establish predictive model with better accessibility.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114844726","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
Effect of time delay on nonlinear control system 时滞对非线性控制系统的影响
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6359466
Xin-Na Ma, Shu-Feng Duan, Chang-Xia Hu, Ying-Xin Hu
{"title":"Effect of time delay on nonlinear control system","authors":"Xin-Na Ma, Shu-Feng Duan, Chang-Xia Hu, Ying-Xin Hu","doi":"10.1109/ICMLC.2012.6359466","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6359466","url":null,"abstract":"Effect of time delay cannot be ignored because of time delay's objective existence in a control system and that a nonlinear control system has a rich nonlinear characteristics and complex control strategy. In this paper, a nonlinear high-speed locomotive control system is taken to analyze the effect of time delay on a nonlinear control system. Theoretical studies are focussed on the time delay problem in a nonlinear locomotive system under active control strategy. Simulations are included about the effect of time delay on a nonlinear locomotive system under active control and semi-active on-off control strategy. Further discussion is given on the effect of time delay under different control strategy.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116724210","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
Iterative bilinear similarity measure learning for CBIR via a minimization of a local sensitivty 基于局部灵敏度最小化的迭代双线性相似性度量学习
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6358943
Shao-Hua Yin, Jincheng Li
{"title":"Iterative bilinear similarity measure learning for CBIR via a minimization of a local sensitivty","authors":"Shao-Hua Yin, Jincheng Li","doi":"10.1109/ICMLC.2012.6358943","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6358943","url":null,"abstract":"With the fast development of photographic device and the Internet, millions of images have been uploaded to the Internet. So, there is an increasing needs of image retrieval method for large scale databases. Content Based Image retrieval (CBIR) is very useful when user wants to find some images that are similar to a given image in both visual and content. In this paper, we first summarize the research development of this field. Secondly, OASIS [5] (Online Algorithm for Scalable Image Similarity) is introduced. However, OASIS focuses on the difference of similarity values between relevant and irrelevant image pairs while ignores the similarity value between highly similar images. So we proposed an improvement to OASIS via a minimization of local Q-neighborhood's sensitivity. It provides a better generalization and retrieves more near duplicate and highly similar images. The proposed improvement is compared with the original OASIS method and yields a better performance.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115784942","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 approach of using fractal dimension and linguistic descriptors in CBIR 分形维数和语言描述符在CBIR中的应用方法
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6359631
An-Zen Shih
{"title":"The approach of using fractal dimension and linguistic descriptors in CBIR","authors":"An-Zen Shih","doi":"10.1109/ICMLC.2012.6359631","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6359631","url":null,"abstract":"In this paper we describe a system which uses linguistic expression and fractal dimensions to retrieve images in database. Brodaz texture images are used for our experiment. In addition, Taruma features are used to extract images of the database and several linguistic expressions are used for classified the images. These linguistic expressions, with the help of fractal dimension are more efficient in searching images. By visual inspection, we are satisfied with our experiment results.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123496500","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: 5
Evaluation of entrepreneurial environment based on fuzzy comprehensive evaluation method 基于模糊综合评价法的创业环境评价
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6358930
Jingyuan Han, Yan-Bo Yang, Yun-He Zhao
{"title":"Evaluation of entrepreneurial environment based on fuzzy comprehensive evaluation method","authors":"Jingyuan Han, Yan-Bo Yang, Yun-He Zhao","doi":"10.1109/ICMLC.2012.6358930","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6358930","url":null,"abstract":"Multiple criteria decision-making research has become a main area of research for entrepreneurial environment because of its complexity. The evaluation model of entrepreneurial environment was explored in this paper. This paper develops an evaluation model based on fuzzy theory and Analytic Hierarchy Process (AHP) for evaluating entrepreneurial environment, whose features was fuzzy and vague, to help the government and entrepreneur in a complicated environment. The model was used in evaluation on entrepreneurial environment for eleven regions of Hebei Province. The evaluation model provides an accurate, effective, and systematic decision support tool.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124446669","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
Application of propositional satisfiability to special cases of cooperative path-planning 命题可满足性在协同路径规划特例中的应用
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6358975
Pavel Surynek
{"title":"Application of propositional satisfiability to special cases of cooperative path-planning","authors":"Pavel Surynek","doi":"10.1109/ICMLC.2012.6358975","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6358975","url":null,"abstract":"A problem of cooperative path-planning is addressed from the perspective of propositional satisfiability in this paper. Two new encodings of the problem as SAT are proposed and evaluated. Together with the existent solution optimization method which locally improves a sub-optimal solution of the problem through SAT solving, one of the new encodings constitute a state-of-the-art method for cooperative path-planning in highly occupied environments.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123693710","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
An improved method of watershed transform on image of cashmere and wool fibre 一种改进的羊绒、羊毛纤维图像分水岭变换方法
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6359526
Shuyuan Shang, Ya-Xia Liu, Fei-Fei Meng
{"title":"An improved method of watershed transform on image of cashmere and wool fibre","authors":"Shuyuan Shang, Ya-Xia Liu, Fei-Fei Meng","doi":"10.1109/ICMLC.2012.6359526","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6359526","url":null,"abstract":"Through the experiment, if using the traditional watershed algorithm of cashmere image edge extraction, the results will appear serious `over-segmentation' phenomenon. This paper adopts multi-resolution analysis theory, using wavelet transformation theory establishment multi-resolution analysis framework on image segmentation. Multi-wavelet transform has some unique advantages and good performance on edge detection and texture analysis. This research uses multi-wavelet transform to improve the over-segmentation watershed transformation, to get meaningful image segmentation result. It facilitates the preparation for the extraction of characteristic such as cashmere image diameter, flake highly, and etc.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122850717","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
Modeling the role of CSAR team based on AML 基于AML的CSAR团队角色建模
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6359486
Shao-Dong Chen, Jin-Xing Liu
{"title":"Modeling the role of CSAR team based on AML","authors":"Shao-Dong Chen, Jin-Xing Liu","doi":"10.1109/ICMLC.2012.6359486","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6359486","url":null,"abstract":"How to plan the mission role of the CSAR (Combat Search and Rescue) assets is the key point of command control of the CSAR mission in modern and future military operations. In this paper, we analyze the necessary role type based on the requirements of the CSAR mission; and then model the role of the CSAR assets by means the agent diagram of AML (Agent Modeling Language), which includes the role structure and the mental states of the role, i.e. role belief, role goal and role plan; finally, we present the relationships among the mental states of the role based on the mission stage, i.e. the ingress, rescue operation, and egress, so that the CSAR mission can be planed effectively.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125554332","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
Geometrically robust image hashing scheme for image authentication 用于图像认证的几何鲁棒图像哈希方案
2012 International Conference on Machine Learning and Cybernetics Pub Date : 2012-07-15 DOI: 10.1109/ICMLC.2012.6359518
Yan Wo, Bo Zhang
{"title":"Geometrically robust image hashing scheme for image authentication","authors":"Yan Wo, Bo Zhang","doi":"10.1109/ICMLC.2012.6359518","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6359518","url":null,"abstract":"In this paper, a geometrically robust image hashing scheme based on Polar Complex Exponential Transform(PCET) is proposed. The reported scheme enhances visual image with the response values of SUSAN detector, then performs PCET on the enhanced image to get the moment features which have rotation and scaling invariance. And then the moment features are processed by the rules, derived from SFFS feature selection method, to obtain the intermediate hash. Finally, the intermediate hash is quantized as the final image hash bits with the deterministic adaptive quantizer. Experimental results show that this scheme can tolerate most of the typical image processing manipulations, such as JPEG compression, geometric distortion, blur, addition of noise, and enhancement. Compared with other approaches in literatures, our method is more effective for image authentication in terms of small tampering detection.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125952246","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
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：481959085
Book学术官方微信