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Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Pattern Recognition, 2019,Volume: 89,Page: 119-133
作者:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
收藏  |  浏览/下载:13/0  |  提交时间:2019/02/11
Nonnegative spectral analysis  Sparse matrix regression  Two-dimensional feature selection  Unsupervised learning  
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy Journal article
IEEE Transactions on Cybernetics, 2019,Volume: 49,Issue: 2,Page: 481-494
作者:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Chen C.L.P.
收藏  |  浏览/下载:7/0  |  提交时间:2019/02/11
3-D local features  3-D voxelization  deep learning  stacked sparse autoencoder (SSAE)  unsupervised feature learning  
Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy Journal article
IEEE TRANSACTIONS ON CYBERNETIC, 2019,Volume: 49,Issue: 2,Page: 481 - 494
作者:  Zhizhong Han;  Zhenbao Liu;  Junwei Han;  Chi-Man Vong;  Shuhui Bu;  C. L. Philip Chen
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/29
3-d Local Features  3-d Voxelization  Deep Learning  Stacked Sparse Autoencoder (Ssae)  Unsupervised Feature Learning  
Open set face recognition with deep transfer learning and extreme value statistics Journal article
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2018,Volume: 16,Issue: 4
作者:  Xie, Hao;  Du, Yunyan;  Yu, Huapeng;  Chang, Yongxin;  Xu, Zhiyong;  Tang, Yuanyan
收藏  |  浏览/下载:15/0  |  提交时间:2018/10/30
Deep learning  open set face recognition  transfer learning  invariance  discrimination  
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
作者:  Han Z.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Bu S.;  Han J.;  Chen C.L.P.
收藏  |  浏览/下载:5/0  |  提交时间:2019/02/11
Coupled Softmax  Deep Spatial  Directed Circular Graph  Spatially-enhanced 3d Features  
Distribution preserving learning for unsupervised feature selection Journal article
Neurocomputing, 2018,Volume: 289,Page: 231-240
作者:  Ting Xie;  Pengfei Ren;  Taiping Zhang;  Yuan Yan Tang
收藏  |  浏览/下载:16/0  |  提交时间:2018/10/30
Feature Selection  Density Preserving  Kernel Density Estimation  Dimensionality Reduction  Data Mining  
Supervised Feature Learning via Within-Class Reconstruction Conference paper
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
作者:  Shao Y.;  Zhou J.;  Gao G.
收藏  |  浏览/下载:2/0  |  提交时间:2018/12/22
Auto-encoders  Feature learning  Neural network  Within-class reconstruction  
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
作者:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Chen C.L.P.
收藏  |  浏览/下载:4/0  |  提交时间:2019/02/11
3-d Mesh  Laplace-beltrami Operator  Mesh Convolutional Deep Belief Networks (Mcdbns)  Mesh Convolutional Restricted Boltzmann Machines (Mcrbms)  
Transfer learning for face identification with deep face model Conference paper
Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
作者:  Yu H.;  Luo Z.;  Tang Y.
收藏  |  浏览/下载:1/0  |  提交时间:2019/02/11
deep learning  Discrimination  face recognition  invariance  transfer learning  
Learning the distribution of data for embedding Conference paper
Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
作者:  Shen Y.;  Ren P.;  Zhang T.;  Tang Y.Y.
收藏  |  浏览/下载:1/0  |  提交时间:2019/02/11
Dimensionality reduction  Distribution preserving embedding  Kernel density estimation