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Total-Effect Test is Superfluous for Establishing Complementary Mediation Journal article
Statistica Sinica, 2020
Authors:  Yingkai Jiang;  Xinshu Zhao;  Lixing Zhu;  Jun S. Liu;  Ke Deng
View | Adobe PDF | Favorite | View/Download:369/52 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2020/05/11
Complementary Mediation  Hypothesis Testing  Linear Model  Mediation Analysis  Total-effect Test  
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:19/0 | TC[WOS]:3 TC[Scopus]:4 | Submit date:2019/02/11
Block sparsity  M-estimator  Representation based classifier  Subspace  
An approximate inverse preconditioner for spatial fractional diffusion equations with piecewise continuous coefficients Journal article
International Journal of Computer Mathematics, 2019
Authors:  Fang,Zhi Wei;  Sun,Hai Wei;  Wei,Hui Qin
Favorite | View/Download:21/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/05/27
Approximate Inverse  Circulant Matrix  Fast Fourier Transform  Fractional Diffusion Equation  Krylov Subspace Methods  Piecewise Continuous Coefficients  Toeplitz Matrix  
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)  
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  
Shared linear encoder-based Gaussian process latent variable model for visual classification Conference paper
MM 2018 - Proceedings of the 2018 ACM Multimedia Conference
Authors:  Li J.;  Lu G.;  Zhang B.;  Zhang D.
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Classification  Gaussian process  Latent variable  Multi-view  
Multiview dimension reduction via Hessian multiset canonical correlations Journal article
Information fusion, 2018,Volume: 41,Page: 119-128
Authors:  Liu, Weifeng;  Yang, Xinghao;  Tao, Dapeng;  Cheng, Jun;  Tang, Yuanyan
Favorite | View/Download:31/0 | TC[WOS]:50 TC[Scopus]:66 | Submit date:2018/10/30
Multiview  Dimension Reduction  Hessian  Canonical Correlation Analysis  
A collaborative-competitive representation based classifier model Journal article
NEUROCOMPUTING, 2018,Volume: 275,Page: 627-635
Authors:  Yuan, Haoliang;  Li, Xuecong;  Xu, Fangyuan;  Wang, Yifei;  Lai, Loi Lei;  Tang, Yuan Yan
Favorite | View/Download:28/0 | TC[WOS]:10 TC[Scopus]:14 | Submit date:2018/10/30
Classification  Collaborative Representation  Collaborative-competitive Representation  
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images Journal article
IEEE Transactions on Cybernetics, 2018,Volume: 48,Issue: 1,Page: 16-28
Authors:  Zhang, Lefei;  Zhang, Qian;  Du, Bo;  Huang, Xin;  Tang, Yuan Yan;  Tao, Dacheng
Favorite | View/Download:27/0 | TC[WOS]:91 TC[Scopus]:112 | Submit date:2018/10/30
Feature Extraction  Feature Selection  Hyperspectral Data  Spectral-spatial Classification  
Guided learning: A new paradigm for multi-task classification Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors:  Fu J.;  Zhang L.;  Zhang B.;  Jia W.
Favorite | View/Download:84/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/04/04
Domain disparity  Guided learning  Subspace learning