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Canonical Correlation Analysis Regularization: An Effective Deep Multi-View Learning Baseline for RGB-D Object Recognition Journal article
IEEE Transactions on Cognitive and Developmental Systems, 2019,Volume: 11,Issue: 1,Page: 107 - 118
Authors:  Lulu Tang;  Zhi-Xin Yang;  Kui Jia
Favorite  |  View/Download:13/0  |  Submit date:2019/04/04
SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
IEEE Transactions on Image Processing, 2019,Volume: 28,Issue: 2,Page: 658-672
Authors:  Han Z.;  Shang M.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Zwicker M.;  Han J.;  Chen C.L.P.
Favorite  |  View/Download:7/0  |  Submit date:2019/02/14
3d Feature Learning  Attention  Rnn  Sequential Labels  Sequential Views  View Aggregation  
An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
IEEE Access, 2019,Volume: 7,Page: 17780-17790
Authors:  Jiang S.B.;  Wong P.K.;  Guan R.;  Liang Y.;  Li J.
Favorite  |  View/Download:4/0  |  Submit date:2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Journal article
COGNITIVE COMPUTATION, 2018,Volume: 10,Issue: 6,Page: 908-921
Authors:  Yang, Zhi-Xin;  Tang, Lulu;  Zhang, Kun;  Wong, Pak Kin
Favorite  |  View/Download:13/0  |  Submit date:2019/01/17
Elm Auto-encoder  Convolutional Neural Networks  3d Shape Recognition  Multi-view Feature Aggregation  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
IEEE Transactions on Image Processing, 2018,Volume: 27,Issue: 6,Page: 3049-3063
Authors:  Han Z.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Bu S.;  Han J.;  Chen C.L.P.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/11
Coupled Softmax  Deep Spatial  Directed Circular Graph  Spatially-enhanced 3d Features  
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
Favorite  |  View/Download:6/0  |  Submit date:2019/04/02
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features with Structure Preservation on 3-D Meshes Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2017,Volume: 28,Issue: 10,Page: 2268-2281
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Chen C.L.P.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
3-d Mesh  Laplace-beltrami Operator  Mesh Convolutional Deep Belief Networks (Mcdbns)  Mesh Convolutional Restricted Boltzmann Machines (Mcrbms)  
Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning Journal article
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017,Volume: 13,Issue: 3,Page: 1213-1226
Authors:  Liu, Zhenbao;  Jia, Zhen;  Vong, Chi-Man;  Bu, Shuhui;  Han, Junwei;  Tang, Xiaojun
Favorite  |  View/Download:14/0  |  Submit date:2018/10/30
Analog Circuits  Deep Belief Network  Deep Learning  Diagnosis  Failure  Fault  Restricted Boltzmann Machines  
Spectral-spatial response for hyperspectral image classification Journal article
Remote Sensing, 2017,Volume: 9,Issue: 3
Authors:  Wei Y.;  Zhou Y.;  Li H.
Favorite  |  View/Download:3/0  |  Submit date:2018/12/21
Hierarchical Framework  Hyperspectral Image Classification  Joint Feature Learning  Spectral-spatial Feature  Subspace Learning  
Machine Intelligence in Signal Sensing, Processing, and Recognition Journal article
Journal of Electrical and Computer Engineering, 2017,Volume: 2017
Authors:  Zhang, Lei;  Jha, Sunil Kr.;  Yang, Zhixin;  Zhao, Zhenbing;  Tiwari, Bhupendra Nath
Favorite  |  View/Download:1/0  |  Submit date:2019/04/04