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2014 International Conference on Machine Learning and Cybernetics最新文献

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A biped humanoid robot's gait planning method based on Artificial Immune Network 基于人工免疫网络的两足仿人机器人步态规划方法
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009131
Yi Luo, Zongze Wu, Sheng Bi, Yuheng Zhang, Q. Zheng, Quanyong Huang
{"title":"A biped humanoid robot's gait planning method based on Artificial Immune Network","authors":"Yi Luo, Zongze Wu, Sheng Bi, Yuheng Zhang, Q. Zheng, Quanyong Huang","doi":"10.1109/ICMLC.2014.7009131","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009131","url":null,"abstract":"A biped humanoid robot model with 12 degree of freedom is developed in this paper. To facilitate the gait pattern planning, the 3D inverted pendulum model and the ZMP are introduced to enable a human-like stable walking. Since the searching of best walk primitive is a multi-objective optimization problem, a modified aiNet Algorithm as well as SGA Algorithm is applied to the optimization process. Finally, the control parameters worked out by both algorithms are verified and compared in simulation. We find out that the result of aiNet provides the robot with better stability than SGA while they are similar in mobility.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117079807","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
Maintaining high-utility itemsets in dynamic databases 在动态数据库中维护高实用项目集
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009653
Chun-Wei Lin, Wensheng Gan, T. Hong, Chien‐Ming Chen
{"title":"Maintaining high-utility itemsets in dynamic databases","authors":"Chun-Wei Lin, Wensheng Gan, T. Hong, Chien‐Ming Chen","doi":"10.1109/ICMLC.2014.7009653","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009653","url":null,"abstract":"Utility mining is used to measure the utility values of the purchased items from transactional database. It usually considers not only the occurrence frequencies of items but also the factors of profit, cost and quantity. In the past, many algorithms were proposed to mine high-utility itemsets from a static database. In real-world applications, transactions are usually inserted, deleted or modified in dynamic databases. In this paper, we propose a maintenance algorithm to handle transaction modification for efficiently updating the discovered high-utility itemsets. Experiments are conducted to show that the proposed approach has better performance than the two-phase algorithm in batch mode.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117299417","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
Relevance feedback based on active learning and GMM in image retrieval system 图像检索系统中基于主动学习和GMM的相关反馈
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009109
Shuo Wang, Jianjian Wang
{"title":"Relevance feedback based on active learning and GMM in image retrieval system","authors":"Shuo Wang, Jianjian Wang","doi":"10.1109/ICMLC.2014.7009109","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009109","url":null,"abstract":"The image annotation and retrieval are significant for semantic image retrieval that needs to establish the relations between linguistic labels and images. So the probabilistic formulation for semantic labeling is introduced to solve them. In addition, relevance feedback can improve the retrieval performance efficiently in the content-based image retrieval (CBIR). In this paper, we proposed a new feedback approach with active learning method combined with Gaussian Mixture Model (GMM) which is used for the likelihood computation for the linguistic indexing.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131697454","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
A new method for forecasting the taiex based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships 提出了一种基于二因子二阶模糊趋势逻辑关系组和模糊逻辑关系趋势概率预测taiex的新方法
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009138
Shyi-Ming Chen, Shen-Wen Chen
{"title":"A new method for forecasting the taiex based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships","authors":"Shyi-Ming Chen, Shen-Wen Chen","doi":"10.1109/ICMLC.2014.7009138","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009138","url":null,"abstract":"This paper presents a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy-trend logical relationships. We also apply the proposed method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX). The experimental results show that the proposed method outperforms the existing methods.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131172079","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
Fuzzy decentralized EIF-based pose tracking for autonomous omnidirectional mobile robot 基于模糊分散eif的自主全向移动机器人姿态跟踪
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009703
Ching-Chih Tsai, Xiao-Ci Wang, Feng-Chun Tai, Chun-Chikh Chan
{"title":"Fuzzy decentralized EIF-based pose tracking for autonomous omnidirectional mobile robot","authors":"Ching-Chih Tsai, Xiao-Ci Wang, Feng-Chun Tai, Chun-Chikh Chan","doi":"10.1109/ICMLC.2014.7009703","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009703","url":null,"abstract":"This paper presents a fuzzy decentralized extended information filter (FDEIF) method for dynamic pose tracking of an autonomous omnidirectional mobile robot (AOMR) driven by omnidirectional Mecanum wheels in indoor environments by fusing measurements from one KINECT sensor, one laser scanner and four encoders mounted on the omnidirectional Mecanum wheels. A FDEIF method is proposed to achieve multisensory fusing for nonlinear measurement models corrupted with time-vary noise characteristics. Assume that the initial global pose is roughly determined by the user, we proposed an FDEIF dynamic pose tracking approach to fuse the measurements from the three types of sensors, in order to accurately keep track of the dynamic postures of the robot moving at slow speeds. Numerical simulations are performed DEIF to exemplify the superior estimation performance and robustness of the proposed method in comparison with one existing DEIF method.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131176214","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: 4
Comparative study of adaptive filter channel estimation technique in MIMO-OFDM system based on STBC 基于STBC的MIMO-OFDM系统自适应滤波信道估计技术比较研究
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009691
Mei Li, Xiang Wang, Kun Zhang
{"title":"Comparative study of adaptive filter channel estimation technique in MIMO-OFDM system based on STBC","authors":"Mei Li, Xiang Wang, Kun Zhang","doi":"10.1109/ICMLC.2014.7009691","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009691","url":null,"abstract":"In this paper, we will analyze the Least Mean Square(LMS) and Recursive Least Square(RLS) algorithms. Then, we apply these two algorithms to a Multiple-input Multiple-output(MIMO-OFDM) system based on Space-Time Block Coding(STBC), and do some simulations on these two algorithms. From the simulation, it is found that the convergence speed of the RLS algorithm is faster than LMS algorithm, i.e., the performance of RLS is better than LMS algorithm.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126898531","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: 13
Periodic boundary value problem for impulsive time-delay control systems 脉冲时滞控制系统的周期边值问题
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009707
Wen-Li Wang
{"title":"Periodic boundary value problem for impulsive time-delay control systems","authors":"Wen-Li Wang","doi":"10.1109/ICMLC.2014.7009707","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009707","url":null,"abstract":"This paper studies impulsive time-delay control system for a class of difference equations with periodic boundary value conditions. By using some new comparison results and the monotone iterative technique, criteria on the existence of minimal and maximal solutions are obtained. An example is discussed to illustrate the efficiency of the results.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116881735","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
Static detection of Android malware by using permissions and API calls 通过使用权限和API调用静态检测Android恶意软件
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009096
P. Chan, Wen-Kai Song
{"title":"Static detection of Android malware by using permissions and API calls","authors":"P. Chan, Wen-Kai Song","doi":"10.1109/ICMLC.2014.7009096","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009096","url":null,"abstract":"Android smart phones have become more and more popular due to its increasing functionalities, compatibility and convenience. More and more Android applications have been developed and can be downloaded easily from app markets. However, Android malwares have increased significantly in recent years. In this paper, we proposed a feature set containing the permissions and API calls for Android malware static detection. Classifiers that used the proposed feature set outperform those only with the permissions experimentally. It showed that the information of API calls is helpful in recognizing Android malware.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297989","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: 87
Feature selection with a supervised similarity-based k-medoids clustering 基于监督相似度的k- mediids聚类特征选择
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009669
Chen-Sen Ouyang
{"title":"Feature selection with a supervised similarity-based k-medoids clustering","authors":"Chen-Sen Ouyang","doi":"10.1109/ICMLC.2014.7009669","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009669","url":null,"abstract":"A supervised similarity-based k-medoids (SSKM) clustering algorithm is proposed for feature selection in classification problems. The set of original features is iteratively partitioned into k clusters, each of which is composed of similar features and represented by a feature yielding the maximum total of similarities with the other features in the duster. A supervised similarity measure is introduced to evaluate the similarity between two features for incorporating information of class labels of training patterns during clustering and representative selection. Experimental results show that our proposed method can select a more effective set of features for classification problems.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127712753","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
Optimization of ensemble classifier system based on multiple objectives genetic algorithm 基于多目标遗传算法的集成分类器系统优化
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009090
T. Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen
{"title":"Optimization of ensemble classifier system based on multiple objectives genetic algorithm","authors":"T. Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen","doi":"10.1109/ICMLC.2014.7009090","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009090","url":null,"abstract":"This paper introduces a mechanism to learn optimal classifier combining algorithms for an ensemble system. By using a genetic algorithm approach that focuses on 3 objectives namely the number of correct classified observations, the number of selected features and the number of selected classifiers, optimal solution can be achieved after several interactions of crossover and mutation. We also employ the Ordered Weighted Averaging operator in which a weight vector is built by a Linear Decreasing (LD) function to find average values of outputs from combining algorithms. Experiments on 2 well-known UCI Machine Learning Repository datasets demonstrate benefits of our approach compared with other state-of-the-art ensemble methods like Decision Template, SCANN and all fixed combining algorithms in the ensemble system.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128633452","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: 13
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