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Fuzzy restricted boltzmann machine and deep belief network: A comparison on image reconstruction Conference paper
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Authors:  Shuang F.;  Chen C.L.P.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/11
DBN  FRBM  Generative  Image reconstruction  
Broad learning system: Feature extraction based on K-means clustering algorithm Conference paper
ICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems
Authors:  Liu Z.;  Zhou J.;  Chen C.L.P.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
broad learning system  deep learning  feature representation  incremental learning  K-means  random vector functional link networks  Single layer feedforward neural networks  SVD  
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)  
Detecting Chinese calligraphy style consistency by deep learning and one-class SVM Conference paper
2017 2nd International Conference on Image, Vision and Computing, ICIVC 2017
Authors:  Jiulong Z.;  Luming G.;  Su Y.;  Sun X.;  Li X.
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Calligraphy style  Chinese calligraphy  Deep learning  Feature extraction  
Transfer learning for face identification with deep face model Conference paper
Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Authors:  Yu H.;  Luo Z.;  Tang Y.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/11
deep learning  Discrimination  face recognition  invariance  transfer learning  
Broad learning system: A new learning paradigm and system without going deep Conference paper
Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
Authors:  Chen C.L.P.;  Liu Z.
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broad learning system  deep learning  random vector functional link networks  Single layer feedforward neural networks  
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:12/0  |  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, Yantao;  Zhou, Yicong;  Li, Hong
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hierarchical framework  hyperspectral image classification  spectral-spatial feature  joint feature learning  subspace learning  
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  
Broad Learning System: Feature extraction based on K-means clustering algorithm Conference paper
Authors:  Liu, Zhulin;  Zhou, Jin;  Chen, C. L. Philip;  IEEE
Favorite  |  View/Download:6/0  |  Submit date:2018/10/30
Single layer feedforward neural networks  SVD  random vector functional link networks  broad learning system  incremental learning  deep learning  K-means  feature representation