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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
Authors:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
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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
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Chen C.L.P.
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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
Authors:  Zhizhong Han;  Zhenbao Liu;  Junwei Han;  Chi-Man Vong;  Shuhui Bu;  C. L. Philip Chen
Favorite  |  View/Download:4/0  |  Submit date: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
Authors:  Xie, Hao;  Du, Yunyan;  Yu, Huapeng;  Chang, Yongxin;  Xu, Zhiyong;  Tang, Yuanyan
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Deep learning  open set face recognition  transfer learning  invariance  discrimination  
Distribution preserving learning for unsupervised feature selection Journal article
Neurocomputing, 2018,Volume: 289,Page: 231-240
Authors:  Ting Xie;  Pengfei Ren;  Taiping Zhang;  Yuan Yan Tang
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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
Authors:  Shao Y.;  Zhou J.;  Gao G.
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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
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Chen C.L.P.
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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
Authors:  Yu H.;  Luo Z.;  Tang Y.
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deep learning  Discrimination  face recognition  invariance  transfer learning  
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine Journal article
IEEE Transactions on Image Processing, 2016,Volume: 25,Issue: 11,Page: 5331-5344
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Li X.
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3d Shapes  Circle Convolutional Restricted Boltzmann Machine  Deep Learning  Fourier Transform Modulus  Geometry Processing  Projection Distance Distribution  
A computational and theoretical analysis of local null space discriminant method for pattern classification Journal article
International Journal of Pattern Recognition and Artificial Intelligence, 2011,Volume: 25,Issue: 1,Page: 117-134
Authors:  Cheng M.;  Fang B.;  Tang Y.Y.;  Chen H.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
dimensionality reduction  local discriminant analysis  local null space  manifold learning  Pattern classification