Feiping Nie
TitleCited byYear
Efficient and robust feature selection via joint ℓ2, 1-norms minimization
F Nie, H Huang, X Cai, CH Ding
Advances in neural information processing systems, 1813-1821, 2010
12972010
Learning a Mahalanobis distance metric for data clustering and classification
S Xiang, F Nie, C Zhang
Pattern recognition 41 (12), 3600-3612, 2008
4992008
A multimedia retrieval framework based on semi-supervised ranking and relevance feedback
Y Yang, F Nie, D Xu, J Luo, Y Zhuang, Y Pan
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (4), 723-742, 2011
3892011
Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction
F Nie, D Xu, IWH Tsang, C Zhang
IEEE Transactions on Image Processing 19 (7), 1921-1932, 2010
3402010
Multi-view k-means clustering on big data
X Cai, F Nie, H Huang
Twenty-Third International Joint conference on artificial intelligence, 2013
3152013
Trace ratio criterion for feature selection.
F Nie, S Xiang, Y Jia, C Zhang, S Yan
AAAI 2, 671-676, 2008
2882008
Joint embedding learning and sparse regression: A framework for unsupervised feature selection
C Hou, F Nie, X Li, D Yi, Y Wu
IEEE Transactions on Cybernetics 44 (6), 793-804, 2013
2822013
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
2652014
Image clustering using local discriminant models and global integration
Y Yang, D Xu, F Nie, S Yan, Y Zhuang
IEEE Transactions on Image Processing 19 (10), 2761-2773, 2010
2402010
Trace ratio problem revisited
Y Jia, F Nie, C Zhang
IEEE Transactions on Neural Networks 20 (4), 729-735, 2009
2282009
Multi-view clustering and feature learning via structured sparsity
H Wang, F Nie, H Huang
International conference on machine learning, 352-360, 2013
2182013
The constrained laplacian rank algorithm for graph-based clustering
F Nie, X Wang, MI Jordan, H Huang
Thirtieth AAAI Conference on Artificial Intelligence, 2016
2052016
Discriminative least squares regression for multiclass classification and feature selection
S Xiang, F Nie, G Meng, C Pan, C Zhang
IEEE transactions on neural networks and learning systems 23 (11), 1738-1754, 2012
2022012
Ranking with local regression and global alignment for cross media retrieval
Y Yang, D Xu, F Nie, J Luo, Y Zhuang
Proceedings of the 17th ACM international conference on Multimedia, 175-184, 2009
1902009
Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering
F Nie, Z Zeng, IW Tsang, D Xu, C Zhang
IEEE Transactions on Neural Networks 22 (11), 1796-1808, 2011
1882011
A unified framework for semi-supervised dimensionality reduction
Y Song, F Nie, C Zhang, S Xiang
Pattern recognition 41 (9), 2789-2799, 2008
1872008
Low-rank matrix recovery via efficient schatten p-norm minimization
F Nie, H Huang, C Ding
Twenty-sixth AAAI conference on artificial intelligence, 2012
1812012
Multi-class active learning by uncertainty sampling with diversity maximization
Y Yang, Z Ma, F Nie, X Chang, AG Hauptmann
International Journal of Computer Vision 113 (2), 113-127, 2015
1792015
Robust principal component analysis with non-greedy ℓ1-norm maximization
F Nie, H Huang, C Ding, D Luo, H Wang
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
1782011
A convex formulation for semi-supervised multi-label feature selection
X Chang, F Nie, Y Yang, H Huang
Twenty-eighth AAAI conference on artificial intelligence, 2014
1752014
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Articles 1–20