自动化学报最新文献

Robust Approximations to Joint Chance-constrained Problems 联合机会约束问题的鲁棒逼近

自动化学报 Pub Date : 2015-10-01 DOI: 10.1016/S1874-1029(15)30003-3

Ran DING , Guo-Xiang LI , Qi-Qiang LI

引用次数: 1

A Chebyshev-Gauss Pseudospectral Method for Solving Optimal Control Problems 求解最优控制问题的切比舍夫-高斯伪谱法

自动化学报 Pub Date : 2015-10-01 DOI: 10.1016/S1874-1029(15)30004-5

Xiao-Jun TANG , Jian-Li WEI , Kai CHEN

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引用次数: 9

SAR Image Despeckling by Sparse Reconstruction Based on Shearlets 基于shearlet的SAR图像去斑稀疏重建

自动化学报 Pub Date : 2015-08-01 DOI: 10.1016/S1874-1029(15)30002-1

Jian JI , Xiao LI , Shuang-Xing XU , Huan LIU , Jing-Jing HUANG

引用次数: 9

Forward Affine Point Set Matching Under Variational Bayesian Framework 变分贝叶斯框架下的正向仿射点集匹配

自动化学报 Pub Date : 2015-08-01 DOI: 10.1016/S1874-1029(15)30001-X

Han-Bing QU , Xi CHEN , Song-Tao WANG , Ming YU

引用次数: 1

H. S. Tsien s Concept for Intelligence and Parallel Intelligence:From LASER to Inspiritment 钱学森的智能与平行智能概念:从激光到灵感

自动化学报 Pub Date : 2015-01-01 DOI: 10.16383/J.AAS.2015.C150216

Wang, Fei-Yue

引用次数: 1

An identification method for nonlinear systems with colored measurement noise 有色测量噪声非线性系统的识别方法

自动化学报 Pub Date : 2015-01-01 DOI: 10.16383/J.AAS.2015.C150278

Huang Long, Z. Gang, Li Ning, Zhao Lin

引用次数: 3

A semi-supervised agglomerative hierarchical clustering method based on dynamically updating constraints 一种基于动态更新约束的半监督聚类分层聚类方法

自动化学报 Pub Date : 2015-01-01 DOI: 10.16383/J.AAS.2015.C140859

Chenxi Zhou, Xun Liang, Jinshan Qi

{"title":"A semi-supervised agglomerative hierarchical clustering method based on dynamically updating constraints","authors":"Chenxi Zhou, Xun Liang, Jinshan Qi","doi":"10.16383/J.AAS.2015.C140859","DOIUrl":"https://doi.org/10.16383/J.AAS.2015.C140859","url":null,"abstract":"A semi-supervised agglomerative hierarchical clustering method based on dynamically updating constraints is proposing in this research. Following the existing semi-supervised clustering algorithm, this method uses the must-link and cannot-link constraints. Instead of using the idea that the instances with must-link constraints are pre-clustered before agglomerating with the others, this method employs a more general and reasonable process. Firstly, must-link and cannot-link constraints are expanded to compose a constraints closure. Then, a standard agglomeration instructed by cannot-link constraints is processed. During this procedure, the must-link and cannot-link are dynamically updated according to the intermediate clustering results. This updating process guarantees the validity of the final results. The fundamental advantage of this method is omitting the pre-clustering process of the instances with must-link constraints. This modification ensures that data points gain a more reasonable agglomeration order, which may result in a significant improvement on the clustering results. This research also introduces an implementation of this model based on Ward0s method, leading to the C-Ward algorithm. The experimental analyses on both Artificial simulated datasets and real world datasets show that this method is much better than the others.","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"41 1","pages":"1253-1263"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67550484","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

State Feedback Stabilization of Stochastic Feedforward Nonlinear Systems with Input Time-delay 输入时滞随机前馈非线性系统的状态反馈镇定

自动化学报 Pub Date : 2014-12-01 DOI: 10.1016/S1874-1029(15)60003-9

Xue-Jun XIE , Cong-Ran ZHAO

引用次数: 12

Nonlinear Control for Multi-agent Formations with Delays in Noisy Environments 噪声环境下具有时滞的多智能体编队非线性控制

自动化学报 Pub Date : 2014-12-01 DOI: 10.1016/S1874-1029(15)60001-5

Xiao-Qing LU , Yao-Nan WANG , Jian-Xu MAO

引用次数: 3

Neural Network-based Adaptive State-feedback Control for High-order Stochastic Nonlinear Systems 基于神经网络的高阶随机非线性系统自适应状态反馈控制

自动化学报 Pub Date : 2014-12-01 DOI: 10.1016/S1874-1029(15)60002-7

Hui-Fang MIN , Na DUAN

引用次数: 12