Feiping Nie
Cited by
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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
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
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
Learning a Mahalanobis distance metric for data clustering and classification
S Xiang, F Nie, C Zhang
Pattern recognition 41 (12), 3600-3612, 2008
Multi-view k-means clustering on big data
X Cai, F Nie, H Huang
Twenty-Third International Joint conference on artificial intelligence, 2013
Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification.
F Nie, J Li, X Li
IJCAI 9, 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
Multi-view clustering and semi-supervised classification with adaptive neighbours
F Nie, G Cai, X Li
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
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
Large-scale multi-view spectral clustering via bipartite graph
Y Li, F Nie, H Huang, J Huang
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
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
Self-weighted multiview clustering with multiple graphs.
F Nie, J Li, X Li
IJCAI, 2564-2570, 2017
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, 113-127, 2015
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
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
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
Multiview consensus graph clustering
K Zhan, F Nie, J Wang, Y Yang
IEEE Transactions on Image Processing 28 (3), 1261-1270, 2018
Auto-weighted multi-view learning for image clustering and semi-supervised classification
F Nie, G Cai, J Li, X Li
IEEE Transactions on Image Processing 27 (3), 1501-1511, 2017
Low-rank matrix recovery via efficient schatten p-norm minimization
F Nie, H Huang, C Ding
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 655-661, 2012
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