Showing results 1 to 20 of 47
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| Issue Date | Title | Author(s) |
| 2011-03-01 | 3D human pose recovery from image by efficient visual feature selection | Chen, C; Yang, Y; Nie, F; Odobez, JM |
| 2018-04-01 | Adaptive Unsupervised Feature Selection with Structure Regularization | Luo, M; Nie, F; Chang, X; Yang, Y; Hauptmann, AG; Zheng, Q |
| 2021 | Agglomerative Neural Networks for Multiview Clustering | Liu, Z; Li, Y; Yao, L; Wang, X; Nie, F |
| 2016-01-01 | Avoiding optimal mean robust PCA/2DPCA with non-greedy ℓ<inf>1</inf>-norm maximization | Luo, M; Nie, F; Chang, X; Yang, Y; Hauptmann, A; Zheng, Q |
| 2017-04-01 | Avoiding optimal mean ℓ<inf>2,1</inf>-norm maximization-based robust PCA for reconstruction | Luo, M; Nie, F; Chang, X; Yang, Y; Hauptmann, AG; Zheng, Q |
| 2018-01-01 | Balanced clustering via exclusive lasso: A pragmatic approach | Li, Z; Nie, F; Chang, X; Ma, Z; Yang, Y |
| - | Balanced k-Means and Min-Cut Clustering | Chang, X; Nie, F; Ma, Z; Yang, Y |
| 2017-10-01 | Beyond trace ratio: Weighted harmonic mean of trace ratios for multiclass discriminant analysis | Li, Z; Nie, F; Chang, X; Yang, Y |
| 2016-07-01 | Compound rank-k projections for bilinear analysis | Chang, X; Nie, F; Wang, S; Yang, Y; Zhou, X; Zhang, C |
| 2014-01-01 | A convex formulation for semi-supervised multi-label feature selection | Chang, X; Nie, F; Yang, Y; Huang, H |
| 2015-06-01 | A convex formulation for spectral shrunk clustering | Chang, X; Nie, F; Ma, Z; Yang, Y; Zhou, X |
| 2016-07-01 | Convex sparse PCA for unsupervised feature learning | Chang, X; Nie, F; Yang, Y; Zhang, C; Huang, H |
| 2019-09-01 | Discrete Multi-Graph Clustering | Luo, M; Yan, C; Zheng, Q; Chang, X; Chen, L; Nie, F |
| 2012-12-10 | Discriminating joint feature analysis for multimedia data understanding | Ma, Z; Nie, F; Yang, Y; Uijlings, JRR; Sebe, N; Hauptmann, AG |
| 2016-01-01 | Discriminative vanishing component analysis | Hou, C; Nie, F; Tao, D |
| 2018-12-01 | Dynamic affinity graph construction for spectral clustering using multiple features | Li, Z; Nie, F; Chang, X; Yang, Y; Zhang, C; Sebe, N |
| 2019-01-01 | Exploiting Combination Effect for Unsupervised Feature Selection by ℓ2,0 Norm | Du, X; Nie, F; Wang, W; Yang, Y; Zhou, X |
| 2011-12-29 | Exploiting the entire feature space with sparsity for automatic image annotation | Ma, Z; Yang, Y; Nie, F; Uijlings, J; Sebe, N |
| 2013-01-01 | A flexible and effective linearization method for subspace learning | Nie, F; Xu, D; Tsang, IW; Zhang, C |
| 2010-07-01 | Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction | Nie, F; Xu, D; Tsang, IWH; Zhang, C |
