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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：32/0 | TC[WOS]:3 TC[Scopus]:8 | 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：21/0 | TC[WOS]:3 TC[Scopus]:5 | 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：52/0 | TC[WOS]:2 TC[Scopus]:15 | 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：28/0 | TC[WOS]:5 TC[Scopus]:11 | Submit date：2019/02/11
deep learning few-shot learning metric learning Siamese dense neural networks software defect prediction |
| Cauchy Matching Pursuit for Robust Sparse Representation and Classification Conference paper
Proceedings - International Conference on Pattern Recognition
Authors: Wang Y.; Zou C.; Tang Y.Y.; Li L.
Favorite | View/Download：12/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/11 |
| Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors: Li A.; Qin A.; Hu S.; Shang Z.; Tang Y.Y.
Favorite | View/Download：10/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/11
3-D edge-preserving filters (3-D EPFs) Hyperspectral images (HSIs) Intensity differences Sparse subspace clustering (SSC) |
| Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors: Zhao L.; Shang Z.; Qin A.; Tang Y.Y.
Favorite | View/Download：9/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/11
Annealing algorithm Gaussian mixture model parameter estimation tsallis-DAVBEM variational bayes EM |
| Huber collaborative representation for robust face identification Conference paper
International Conference on Wavelet Analysis and Pattern Recognition
Authors: Wang Y.-L.; Zou C.-M.; Tang Y.Y.; Yang L.-N.
Favorite | View/Download：9/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/11
Collaborative representation Face recognition M-estimation |
| Clustering by learning the non-negative half-space Conference paper
International Conference on Wavelet Analysis and Pattern Recognition
Authors: Hu K.; Tian J.; Tang Y.Y.
Favorite | View/Download：7/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/11
Clustering Half-space Non-negative representation |
| Video saliency detection using object proposals Journal article
IEEE Transactions on Cybernetics, 2018,Volume: 48,Issue: 11,Page: 3159-3170
Authors: Guo F.; Wang W.; Shen J.; Shao L.; Yang J.; Tao D.; Tang Y.Y.
Favorite | View/Download：22/0 | TC[WOS]:22 TC[Scopus]:35 | Submit date：2019/02/11
Object proposals object-level saliency cues salient region detection video saliency |
