Feiping Nie
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Efficient and robust feature selection via joint ℓ2, 1-norms minimization
F Nie, H Huang, X Cai, C Ding
Advances in neural information processing systems 23, 2010
Learning a Mahalanobis distance metric for data clustering and classification
S Xiang, F Nie, C Zhang
Pattern recognition 41 (12), 3600-3612, 2008
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Multi-view k-means clustering on big data
X Cai, F Nie, H Huang
Twenty-Third International Joint conference on artificial intelligence, 2013
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
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
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
The constrained laplacian rank algorithm for graph-based clustering
F Nie, X Wang, M Jordan, H Huang
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
Trace ratio criterion for feature selection.
F Nie, S Xiang, Y Jia, C Zhang, S Yan
AAAI 2, 671-676, 2008
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
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
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
Large-scale multi-view spectral clustering via bipartite graph
Y Li, F Nie, H Huang, J Huang
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Multi-view clustering and feature learning via structured sparsity
H Wang, F Nie, H Huang
International conference on machine learning, 352-360, 2013
Trace ratio problem revisited
Y Jia, F Nie, C Zhang
IEEE Transactions on Neural Networks 20 (4), 729-735, 2009
Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification.
F Nie, J Li, X Li
IJCAI, 1881-1887, 2016
Multi-view subspace clustering
H Gao, F Nie, X Li, H Huang
Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015
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
Multi-view clustering and semi-supervised classification with adaptive neighbours
F Nie, G Cai, X Li
Thirty-first AAAI conference on artificial intelligence, 2017
Low-rank matrix recovery via efficient schatten p-norm minimization
F Nie, H Huang, C Ding
Twenty-sixth AAAI conference on artificial intelligence, 2012
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