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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.
Favorite  |  View/Download:24/0  |  Submit date:2019/02/11
Nonnegative spectral analysis  Sparse matrix regression  Two-dimensional feature selection  Unsupervised learning  
Block sparse representation for pattern classification: Theory, extensions and applications Journal article
Pattern Recognition, 2019,Volume: 88,Page: 198-209
Authors:  Wang Y.;  Tang Y.Y.;  Li L.;  Zheng X.
Favorite  |  View/Download:14/0  |  Submit date:2019/02/11
Block sparsity  M-estimator  Representation based classifier  Subspace  
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification Journal article
IEEE Geoscience and Remote Sensing Letters, 2019,Volume: 16,Issue: 2,Page: 241-245
Authors:  Qin A.;  Shang Z.;  Tian J.;  Wang Y.;  Zhang T.;  Tang Y.Y.
Favorite  |  View/Download:40/0  |  Submit date:2019/02/11
Graph convolutional  hyperspectral image (HSI) classification  neural network  semisupervised learning  
Siamese Dense Neural Network for Software Defect Prediction with Small Data Journal article
IEEE Access, 2019,Volume: 7,Page: 7663-7677
Authors:  Zhao L.;  Shang Z.;  Zhao L.;  Qin A.;  Tang Y.Y.
Favorite  |  View/Download:21/0  |  Submit date:2019/02/11
deep learning  few-shot learning  metric learning  Siamese dense neural networks  software defect prediction