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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 |
