Xinwang Liu
Cited by
Cited by
In defense of soft-assignment coding
L Liu, L Wang, X Liu
2011 International Conference on Computer Vision, 2486-2493, 2011
Deep learning for generic object detection: A survey
L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen
International Journal of Computer Vision, 1-58, 2020
Improved deep embedded clustering with local structure preservation.
X Guo, L Gao, X Liu, J Yin
IJCAI, 1753-1759, 2017
Global and local structure preservation for feature selection
X Liu, L Wang, J Zhang, J Yin, H Liu
IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1083-1095, 2013
Deep clustering with convolutional autoencoders
X Guo, X Liu, E Zhu, J Yin
International conference on neural information processing, 373-382, 2017
Multiple kernel extreme learning machine
X Liu, L Wang, GB Huang, J Zhang, J Yin
Neurocomputing 149, 253-264, 2015
Multiple Kernel -Means with Incomplete Kernels
X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao
IEEE transactions on pattern analysis and machine intelligence 42 (5), 1191-1204, 2019
An efficient approach to integrating radius information into multiple kernel learning
X Liu, L Wang, J Yin, E Zhu, J Zhang
IEEE transactions on cybernetics 43 (2), 557-569, 2013
Multiple kernel k-means clustering with matrix-induced regularization
X Liu, Y Dou, J Yin, L Wang, E Zhu
Proceedings of the thirtieth AAAI conference on artificial intelligence …, 2016
Late fusion incomplete multi-view clustering
X Liu, X Zhu, M Li, L Wang, C Tang, J Yin, D Shen, H Wang, W Gao
IEEE transactions on pattern analysis and machine intelligence 41 (10), 2410 …, 2018
Multiple kernel learning based multi-view spectral clustering
D Guo, J Zhang, X Liu, Y Cui, C Zhao
2014 22nd International Conference on Pattern Recognition, 3774-3779, 2014
Learning a joint affinity graph for multiview subspace clustering
C Tang, X Zhu, X Liu, M Li, P Wang, C Zhang, L Wang
IEEE Transactions on Multimedia 21 (7), 1724-1736, 2018
Cooperative training of deep aggregation networks for RGB-D action recognition
P Wang, W Li, J Wan, P Ogunbona, X Liu
arXiv preprint arXiv:1801.01080, 2017
Optimal neighborhood kernel clustering with multiple kernels.
X Liu, S Zhou, Y Wang, M Li, Y Dou, E Zhu, J Yin, H Li
AAAI, 2266-2272, 2017
Robust graph regularized unsupervised feature selection
C Tang, X Zhu, J Chen, P Wang, X Liu, J Tian
Expert Systems with Applications 96, 64-76, 2018
Robust unsupervised feature selection via dual self-representation and manifold regularization
C Tang, X Liu, M Li, P Wang, J Chen, L Wang, W Li
Knowledge-Based Systems 145, 109-120, 2018
Multiple kernel clustering with local kernel alignment maximization
M Li, X Liu, L Wang, Y Dou, J Yin, E Zhu
Sample-adaptive multiple kernel learning
X Liu, L Wang, J Zhang, J Yin
Proceedings of the National Conference on Artificial Intelligence, 2014
An incremental feature learning algorithm based on least square support vector machine
X Liu, G Zhang, Y Zhan, E Zhu
International Workshop on Frontiers in Algorithmics, 330-338, 2008
Large margin subspace learning for feature selection
B Liu, B Fang, X Liu, J Chen, Z Huang, X He
Pattern Recognition 46 (10), 2798-2806, 2013
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