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Two-dimensional Quaternion PCA and Sparse PCA Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Page: 1 - 15
Authors:  Xiaolin Xiao;  Yicong Zhou
Favorite | View/Download:16/0 | TC[WOS]:0 TC[Scopus]:10 | Submit date:2019/03/26
2d-principle Component Analysis (2d-pca)  2d-quaternion Pca (2d-qPca)  2d-quaternion Sparse Pca (2d-qsPca)  Color Face Recognition  Feature Extraction  Partial Occlusions  Qpca  
A novel grey forecasting model with rolling mechanism using taguchi-based differential evolution algorithm to optimize the bicycle industry in China Journal article
Industrial Engineering and Management Systems, 2018,Volume: 17,Issue: 1,Page: 72-81
Authors:  Liu X.H.;  Wong S.F.
Favorite | View/Download:10/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/03/28
Differential Evolution Algorithm  Grey System  Parameter Optimization  Rolling Mechanism  Taguchi Method  
Leader-follower multi-robot formation system using model predictive control method based on particle swarm optimization Conference paper
Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
Authors:  Xiao H.;  Chen C.L.P.
Favorite | View/Download:10/0 | TC[WOS]:0 TC[Scopus]:2 | Submit date:2019/02/11
Multiple Mobile Robots Formation  Nonlinear Model Predictive Control (NMPC)  Particle Swarm Optimization (PSO)  Separation-bearing-orientation Scheme (SBOS)  
Leader-follower Multi-Robot Formation System Using Model Predictive Control Method Based on Particle Swarm Optimization Conference paper
Authors:  Xiao, Hanzhen;  Chen, C. L. Philip;  IEEE
Favorite | View/Download:13/0 | TC[WOS]:1 TC[Scopus]:0 | Submit date:2018/10/30
Multiple Mobile Robots Formation  Separation-bearing-orientation Scheme (SBOS)  Nonlinear Model Predictive Control (NMPC)  Particle Swarm Optimization (PSO)  
Ultra-Low-Power and Ultra-Low-Cost Short-Range Wireless Receivers in Nanoscale CMOS Book
Switzerland:Springer International Publishing, 2016
Authors:  Zhicheng Lin;  Pui-In Mak (Elvis);  Rui Paulo Martins
Favorite | View/Download:141/0 | TC[WOS]:0 TC[Scopus]:3 | Submit date:2019/02/27
Analog Circuits And Signal Processing  Internet Of Things  Ultra-low-power Wireless Receivers  Ultra-low-power Rf Circuit Design  Wireless Receivers In Nanoscale Cmos  Zigbee  
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering Conference paper
IJCAI International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, 7 25, 2015 - 7 31, 2015
Authors:  Wang, Zhangyang;  Yang, Yingzhen;  Chang, Shiyu;  Li, Jinyan;  Fong, Simon;  Huang, Thomas S.
Favorite | View/Download:5/0 | TC[WOS]:5 TC[Scopus]:0 | Submit date:2018/11/06
Sparse bayesian extreme learning machine for multi-classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 4,Page: 836
Authors:  Luo J.;  Vong C.-M.;  Wong P.-K.
Favorite | View/Download:27/0 | TC[WOS]:112 TC[Scopus]:138 | Submit date:2018/10/30
Bayesian Learning  Classification  Extreme Learning Machine (Elm)  Sparsity  
Towards peer-to-peer based service hosting through procurement mechanism for host selection Conference paper
2014 IEEE 11th International Conference on e-Business Engineering, Guangzhou, PEOPLES R CHINA, NOV 05-07, 2014
Authors:  Bingqing Shen;  Jingzhi Guo;  C.L. Philip Chen
Favorite | View/Download:10/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Cost Minimization  Peer Availability  Procurement  Service Availability  Service Hosting  
Covariance matrix estimation with multi-regularization parameters based on MDL principle Journal article
Neural Processing Letters, 2013,Volume: 38,Issue: 2,Page: 227-238
Authors:  Zhou X.;  Guo P.;  Chen C.L.P.
Favorite | View/Download:9/0 | TC[WOS]:3 TC[Scopus]:4 | Submit date:2019/02/11
Covariance matrix estimation  Gaussian classifier  Minimum description length Principle  Multi-regularization parameters selection  
Solid waste management in Macao: Practices and challenges Journal article
Waste Management, 2006,Volume: 26,Issue: 9,Page: 1045
Authors:  Jin J.;  Wang Z.;  Ran S.
Favorite | View/Download:6/0 | TC[WOS]:58 TC[Scopus]:69 | Submit date:2018/10/30