Selected(0)Clear
Items/Page: Sort: |
| Laplacian regularized nonnegative representation for clustering and dimensionality reduction Journal article IEEE Transactions on Circuits and Systems for Video Technology, 2021,Page: 1-14 Authors: Zhao, YP; Chen, L. ; Chen, C. L. P.
 Favorite | | TC[WOS]:7 TC[Scopus]:0 | Submit date:2022/07/27 Sparse Subspace Clustering |
| Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications Conference paper Communications in Computer and Information Science, Zhuhai, China, 25-27 December, 2020 Authors: Zhang, Hengmin; Du, Wenli; Liu, Xiaoqian; Zhang, Bob ; Qian, Feng
 Favorite | | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13 Admm Convergence Analysis Kkt Conditions Matrix Trace Lasso Nuclear Norm Factorization |
| Robust subspace clustering with independent and piecewise identically distributed noise modeling Conference paper Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 15-20 June 2019 Authors: Yuanman Li; Jiantao Zhou ; Xianwei Zheng; Jinyu Tian; Yuan Yan Tang
Adobe PDF | Favorite | | TC[WOS]:41 TC[Scopus]:12 | Submit date:2021/03/11 |
| Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image Journal article International Journal of Pattern Recognition and Artificial Intelligence, 2019,Volume: 33,Issue: 3 Authors: Li, Ailin; Qin, Anyong; Shang, Zhaowei; Tang, Yuan Yan
 Favorite | | TC[WOS]:8 TC[Scopus]:7 | Submit date:2022/04/15 3d Edge-preserving Filters (3d Epfs) Hyperspectral Images (Hsis) Intensity Differences Sparse Subspace Clustering (Ssc) |
| 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 | | 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) |
| 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 | | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11 Clustering Half-space Non-negative representation |
| Minimum error entropy based sparse representation for robust subspace clustering Journal article IEEE Transactions on Signal Processing, 2015,Volume: 63,Issue: 15,Page: 4010-4021 Authors: Wang Y.; Tang Y.Y.; Li L.
 Favorite | | TC[WOS]:24 TC[Scopus]:20 | Submit date:2019/02/11 Atomic Representation Error Entropy Face Clustering Information Theoretic Learning Subspace |