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2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)最新文献

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A new approach to dimensionality reduction based on locality preserving LDA 基于局域保持LDA的降维新方法
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816254
Di Zhang, Jiazhong He
{"title":"A new approach to dimensionality reduction based on locality preserving LDA","authors":"Di Zhang, Jiazhong He","doi":"10.1109/FSKD.2013.6816254","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816254","url":null,"abstract":"Linear discriminant analysis (LDA) is one of the most popular supervised dimensionality reduction (DR) techniques. However, LDA only captures global geometrical structure information of the data and ignores the geometrical variation of local data points of the same class. In this paper, a new supervised DR algorithm called local intraclass variation preserving LDA (LIPLDA) is proposed. We also show that the proposed algorithm can be extended to non-linear DR scenarios by applying the kernel trick.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116015679","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
Fuzzy comprehensive evaluation for personnel quota control modes in group companies 集团公司人员定额控制模式的模糊综合评价
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816213
Minpeng Xiong, Xiuyun Shi
{"title":"Fuzzy comprehensive evaluation for personnel quota control modes in group companies","authors":"Minpeng Xiong, Xiuyun Shi","doi":"10.1109/FSKD.2013.6816213","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816213","url":null,"abstract":"In this paper, we classify the personnel quota control modes in group companies into three categories. The description of three control modes and their features are discussed. From perspectives of parent companies and subsidiaries, we analyze factors relevant to the selection of personnel quota control modes. Based on the method of fuzzy comprehensive evaluation, we provide a decision-making method which can help group companies to choose the proper personnel quota control mode. Finally, a case study is presented to illustrate the effectiveness of the method.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115050985","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
Co-training based semi-supervised Web spam detection 基于协同训练的半监督Web垃圾邮件检测
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816301
Wei Wang, Xiaodong Lee, An-Lei Hu, Guanggang Geng
{"title":"Co-training based semi-supervised Web spam detection","authors":"Wei Wang, Xiaodong Lee, An-Lei Hu, Guanggang Geng","doi":"10.1109/FSKD.2013.6816301","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816301","url":null,"abstract":"Traditional Web spam classifiers use only labeled data (feature/label pairs) to train. Labeled spam instances, however, are very difficult, expensive, or time consuming to obtain, as they require the efforts of experienced human annotators. Meanwhile unlabeled samples are relatively easy to collect. Semi-supervised learning addresses the classification problem by using large amount of unlabeled data, together with the labeled data, to build better classifiers. This paper proposes two new semi-supervised learning algorithms to boost the performance of Web spam classifiers. The algorithms integrate the traditional co-training with the topological dependency based hyperlink learning. The proposed methods extend our previous work on self-training based semi-supervised Web spam detection. The experimental results with 100/200 labeled samples on the standard WEBSPAM-UK2006 benchmark showed that the algorithms are effective.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132258135","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: 7
A multi-criteria group decision making model for performance evaluation of commercial banks 商业银行绩效评价的多准则群体决策模型
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816330
Le Jiang, Hongbin Liu
{"title":"A multi-criteria group decision making model for performance evaluation of commercial banks","authors":"Le Jiang, Hongbin Liu","doi":"10.1109/FSKD.2013.6816330","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816330","url":null,"abstract":"It is an important issue to evaluate the performance of commercial banks. Based on the balanced scorecard, this paper introduces a performance evaluation index system. By using the multi-criteria group decision making model that combines the numerical and linguistic information, the paper gives the decision making process to choose the best bank. The computational process is illustrated by an example.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128313159","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
Robustifying cepstral features by mitigating the outlier effect for noisy speech recognition 通过减轻噪声语音识别中的离群值效应来增强倒谱特征
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816329
Hao-Teng Fan, Kuan-wei Hsieh, Chien-hao Huang, J. Hung
{"title":"Robustifying cepstral features by mitigating the outlier effect for noisy speech recognition","authors":"Hao-Teng Fan, Kuan-wei Hsieh, Chien-hao Huang, J. Hung","doi":"10.1109/FSKD.2013.6816329","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816329","url":null,"abstract":"The performance of automatic speech recognition (ASR) systems is often seriously degraded by noise interference. Among the techniques to reduce the noise effect, cepstral mean-and-variance normalization (CMVN) is a simple yet quite effective approach for processing MFCC speech features. However, the features processed by CMVN contain a significant number of outliers, which very likely weakens the effect of CMVN. This paper primarily proposes to deal with the outliers left by CMVN with two directions. The first one is to apply a sigmoid function transformation, which provides explicit lower and upper bounds for the outliers, and the second one exploits the well-known median filter to remove the impulse-like outliers in the CMVN features. Under the Aurora-2 digit recognition database and task, the presented two frameworks give rise to around 5% in absolute accuracy improvement in comparison with CMVN, and the corresponding word error rate reduction relative to the MFCC baseline is as high as 50%.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134435824","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 adaptive orthogonal matching pursuit algorithm based on redundancy dictionary 一种基于冗余字典的自适应正交匹配追踪算法
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816263
Yu-min Tian, Zhihui Wang
{"title":"An adaptive orthogonal matching pursuit algorithm based on redundancy dictionary","authors":"Yu-min Tian, Zhihui Wang","doi":"10.1109/FSKD.2013.6816263","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816263","url":null,"abstract":"The reconstruction performance of an orthogonal matching pursuit algorithm is poor due to less observation values. An observation matrix design method which can adaptively ensure the sample size based on the image information is proposed. To make the algorithm more sparsely representative, an adaptive orthogonal matching pursuit algorithm based on the redundant dictionary is discussed by using a K-SVD dictionary training method to get a sparse dictionary. Experimental results show that the algorithm not only solves the problem that the sample size is small, but also improves the image reconstruction quality.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134117570","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: 3
Learning sparse Fuzzy Cognitive Maps by Ant Colony Optimization 基于蚁群优化的稀疏模糊认知地图学习
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816169
Nan Ye, Ming Gao, Rongwei Zhang, Dehong Wang, Xianhua He, Jun Lu, Zhengyan Wu, Qi Zheng
{"title":"Learning sparse Fuzzy Cognitive Maps by Ant Colony Optimization","authors":"Nan Ye, Ming Gao, Rongwei Zhang, Dehong Wang, Xianhua He, Jun Lu, Zhengyan Wu, Qi Zheng","doi":"10.1109/FSKD.2013.6816169","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816169","url":null,"abstract":"Fuzzy Cognitive Maps (FCMs) are a causal modelling technique. FCM models contain nodes (representing the concepts to be modelled) and directed weighted edges (representing the causal relations between the concepts). Data-driven FCM learning algorithms are an objective approach with the potential to discover the causal relations that are unknown to human experts. Learning FCM from data can be a difficult problem because the size of the solution space grows quadratically with the number of nodes in the FCM models. A data-driven learning algorithm based on Ant Colony Optimization (ACO) is proposed to develop Fuzzy Cognitive Maps (FCMs). The FCM models can be isomorphically represented as weight vectors. The objective function is to minimize the difference between the estimated response of the FCM model and the target response observed from the to-be-modelled system. An ACO algorithm with heuristic information is proposed to find the best FCM model. The performance of the ACO algorithm was tested on both randomly generated data and DREAM4 project data (publicly available in-silico gene expression data). The experiment results show that the ACO algorithm is able to learn FCMs with at least 40 nodes.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134518438","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: 3
Visual saliency detection based on mahalanobis distance and feature evaluation 基于马氏距离和特征评价的视觉显著性检测
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816202
Z. Yao
{"title":"Visual saliency detection based on mahalanobis distance and feature evaluation","authors":"Z. Yao","doi":"10.1109/FSKD.2013.6816202","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816202","url":null,"abstract":"Detection of salient regions in natural scenes is useful for computer vision applications, such as image segmentation, object recognition, and image retrieval. In this paper, we propose a new bottom-up visual saliency detection method after analyzing the weakness of the frequency tuned saliency detection method. The proposed method uses the YCbCr color space to present the image and computes the Mahalanobis distance between the pixel and the image mean for each color channel or feature. Then the weights of all features are evaluated and used to produce the final saliency map in the process of feature fusion. Our method is easier to implement and is computationally efficient. We compare our approach to five state-of-the-art saliency detection methods using publicly available ground truth. The experimental results show that the proposed method can effectively detect salient regions and outperforms the other five methods in both qualitative and quantitative terms.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133091856","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 problem of entropy production in the classic rule of combination in the Dezert-Smarandache theory Dezert-Smarandache理论中经典组合规则中的熵产问题
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816275
Xinde Li
{"title":"The problem of entropy production in the classic rule of combination in the Dezert-Smarandache theory","authors":"Xinde Li","doi":"10.1109/FSKD.2013.6816275","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816275","url":null,"abstract":"In this paper, the classic rule of combination in the Dezert-Smarandache theory is found to be not convergent with the number increase of evidential sources since it leaves out the denominator in the Dempster's rule. That is, it is a process of entropy productions. This means the final result of combination is more uncertain, and can not give a good decision. Several illustrative examples are given to explain and testify this problem. Finally, a conclusion is given, in order to point out the necessity of developing some simple and convergent combinational rules in the Dezert-Smarandache theory.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125811285","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
A spatial data model and its application in 3D geological modeling 空间数据模型及其在三维地质建模中的应用
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816323
Hua Xu, Qiang Wu, Zi-Xiang Ma, Wenyue Fei, Qiufeng Dong
{"title":"A spatial data model and its application in 3D geological modeling","authors":"Hua Xu, Qiang Wu, Zi-Xiang Ma, Wenyue Fei, Qiufeng Dong","doi":"10.1109/FSKD.2013.6816323","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816323","url":null,"abstract":"The spatial data model is one of the core technologies of 3D geological modeling. The expression and precision of the model directly affect the effects of the visualization and application of geological body. A framework is proposed consisting of model definition, model classification and design method by classifying, comparing and analyzing for spatial data model. The data structure and topological relationship of the typical spatial data model are proposed, which are suitable for geological simulation. The experimental results show that the method designed in this paper can accurately represent the phenomena of complex geology and improve the precision and quality of 3D models.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125819617","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: 3
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