[1]CHEN Tong,CHEN Xiuhong.Feature self-representation and graph regularization for robust unsupervised feature selection[J].CAAI Transactions on Intelligent Systems,2022,17(2):286-294.[doi:10.11992/tis.202012043]
Copy

Feature self-representation and graph regularization for robust unsupervised feature selection

References:
[1] NIE Feiping, HUANG Heng, CAI Xiao, et al. Efficient and robust feature selection via joint l2, 1-norms minimization[C]//Proceedings of the 23rd International Conference on Neural Information Processing Systems. Vancouver, Canada, 2010: 1813-1821.
[2] ZHAO Jidong, LU Ke, HE Xiaofei. Locality sensitive semi-supervised feature selection[J]. Neurocomputing, 2008, 71(10/12): 1842–1849.
[3] HE Xiaofei, CAI Deng, NIYOGI P. Laplacian score for feature selection[C]//Proceedings of the 18th International Conference on Neural Information Processing Systems. Vancouver, Canada, 2005: 507-514.
[4] HOU Chenping, NIE Feiping, LI Xuelong, et al. Joint embedding learning and sparse regression: a framework for unsupervised feature selection[J]. IEEE transactions on cybernetics, 2014, 44(6): 793–804.
[5] TABAKHI S, MORADI P, AKHLAGHIAN F. An unsupervised feature selection algorithm based on ant colony optimization[J]. Engineering applications of artificial intelligence, 2014, 32: 112–123.
[6] CAI Deng, ZHANG Chiyuan, HE Xiaofei. Unsupervised feature selection for multi-cluster data[C]//Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, USA, 2010: 333-342.
[7] ADHIKARY J R, MURTY M N. Feature selection for unsupervised learning[C]//Proceedings of 19th International Conference on Neural Information Processing. Doha, Qatar, 2012: 382-389.
[8] 周志华. 机器学习[M]. 北京: 清华大学出版社, 2016: 1-425.
[9] LI Hao, WANG Yongli, LI Yanchao, et al. Joint local structure preservation and redundancy minimization for unsupervised feature selection[J]. Applied intelligence, 2020, 50(12): 4394–4411.
[10] LIU Yanfang, YE Dongyi, LI Wenbin, et al. Robust neighborhood embedding for unsupervised feature selection[J]. Knowledge-based systems, 2020, 193: 105462.
[11] LIU Xinwang, WANG Lei, ZHANG Jian, et al. Global and local structure preservation for feature selection[J]. IEEE transactions on neural networks and learning systems, 2014, 25(6): 1083–1095.
[12] ROWEIS S T, SAUL L K. Nonlinear dimensionality reduction by locally linear embedding[J]. Science, 2000, 290(5500): 2323–2326.
[13] HE Xiaofei, NIYOGI P. Locality preserving projections[C]//Proceedings of the 16th International Conference on Neural Information Processing Systems. Whistler, Canada, 2003: 153-160.
[14] ZHANG Tianhao, YANG Jie, ZHAO Deli, et al. Linear local tangent space alignment and application to face recognition[J]. Neurocomputing, 2007, 70(7/8/9): 1547–1553.
[15] ZHU Pengfei, ZUO Wangmeng, ZHANG Lei, et al. Unsupervised feature selection by regularized self-representation[J]. Pattern recognition, 2015, 48(2): 438–446.
[16] BELHUMEUR P N, HESPANHA J P, KRIEGMAN D J. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection[J]. IEEE transactions on pattern analysis and machine intelligence, 1997, 19(7): 711–720.
[17] SAMARIA F S, HARTER A C. Parameterisation of a stochastic model for human face identification[C]//Proceedings of 1994 IEEE Workshop on Applications of Computer Vision. Sarasota, USA, 1994: 138-142.
[18] NIE Feiping, HUANG Heng. Subspace clustering via new low-rank model with discrete group structure constraint[C]//Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. New York, USA, 2016.
[19] MARTíNEZ A M, BENAVENTE R. The AR face database: CVC Technical Report #24[R]. Barcelona, Computer Vision Center, 1998.
[20] HULL J J. A database for handwritten text recognition research[J]. IEEE transactions on pattern analysis and machine intelligence, 1994, 16(5): 550–554.
[21] DU Jixiang, WANG Xiaofeng, ZHANG Guojun. Leaf shape based plant species recognition[J]. Applied mathematics and computation, 2007, 185(2): 883–893.
[22] LI Zechao, YANG Yi, LIU Jing, et al. Unsupervised feature selection using nonnegative spectral analysis[C]//Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. Toronto, Canada, 2012: 1026-1032.
[23] NIE Feiping, ZHU Wei, LI Xuelong. Unsupervised feature selection with structured graph optimization[C]//Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. Phoenix, Arizona, 2016: 1302-1308.
[24] TANG Chang, ZHU Xinzhong, CHEN Jiajia, et al. Robust graph regularized unsupervised feature selection[J]. Expert systems with applications, 2018, 96: 64–76.
[25] TANG Chang, BIAN Meiru, LIU Xinwang, et al. Unsupervised feature selection via latent representation learning and manifold regularization[J]. Neural networks, 2019, 117: 163–178.
Similar References:

Memo

-

Last Update: 1900-01-01

Copyright © CAAI Transactions on Intelligent Systems