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A 3D obstacle classification method in point clouds using K-NN Conference paper
ACM International Conference Proceeding Series
Authors:  Tian Y.;  Zou S.;  Song W.;  Lee E.S.;  Fong S.;  Rhee J.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/13
3D Point Cloud  Feature Extraction  KNN  Obstacle Classification  
Classifying 3D objects in LiDAR point clouds with a back-propagation neural network Journal article
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2018,Volume: 8
Authors:  Song, Wei;  Zou, Shuanghui;  Tian, Yifei;  Fong, Simon;  Cho, Kyungeun
Favorite  |  View/Download:3/0  |  Submit date:2018/10/31
3D object recognition  Back-propagation neural network  Feature extraction  LiDAR point cloud  
Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms Conference paper
2018 Conference on Information Communications Technology and Society, ICTAS 2018 - Proceedings
Authors:  Ma B.B.;  Fong S.;  Millham R.
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Data Analytics  Data mining  Fog computing  Gas Sensor  Internet of Things  
Learning Combinatorial Global and Local Features on 3D Point Clouds Conference paper
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI), Guangzhou, China, 8-12 Oct. 2018
Authors:  Luqing Luo;  Lulu Tang;  Zhi-Xin Yang
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A 3D localisation method in indoor environments for virtual reality applications Journal article
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2017,Volume: 7
Authors:  Song, Wei;  Liu, Liying;  Tian, Yifei;  Sun, Guodong;  Fong, Simon;  Cho, Kyungeun
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
Kinect  LiDAR  Hough transform  Connected-component-labelling  Virtual reality  
Breaking the Top-κ Restriction of the kNN Hidden Databases Conference paper
Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Authors:  Li H.;  Gong Z.
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3D Reconstruction Framework for Multiple Remote Robots on Cloud System Journal article
SYMMETRY-BASEL, 2017,Volume: 9,Issue: 4
Authors:  Chu, Phuong Minh;  Cho, Seoungjae;  Fong, Simon;  Park, Yong Woon;  Cho, Kyungeun
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3D reconstruction  ground segmentation  cloud system  point cloud  
3D reconstruction framework for multiple remote robots on cloud system Journal article
Symmetry, 2017,Volume: 9,Issue: 4
Authors:  Chu P.M.;  Cho S.;  Fong S.;  Park Y.W.;  Cho K.
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3D reconstruction  Cloud system  Ground segmentation  Point cloud  
Prometheus: online estimation of optimal memory demands for workers in in-memory distributed computation Conference paper
PROCEEDINGS OF THE 2017 SYMPOSIUM ON CLOUD COMPUTING (SOCC '17), Santa Clara, CA, SEP 24-27, 2017
Authors:  Guoyao Xu;  Cheng-Zhong Xu
Favorite  |  View/Download:6/0  |  Submit date:2019/05/09
Memory Demands Estimation  Resource Efficiency  Performance  Spark  Yarn  
Uncertainty characterization of the orthogonal Procrustes problem with arbitrary covariance matrices Journal article
PATTERN RECOGNITION, 2017,Volume: 61,Page: 210-220
Authors:  Lourenco, Pedro;  Guerreiro, Bruno J.;  Batista, Pedro;  Oliveira, Paulo;  Silvestre, Carlos
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Weighted Procrustes Statistics  Perturbation Theory  Uncertainty Characterization  Map Transformation