1 |
ZHANG Y X, BAI X Z, FAN R R, et al. Deviation-sparse fuzzy C-means with neighbor information constraint[J]. IEEE Transactions on Fuzzy Systems, 2019, 27(1): 185-199. 10.1109/tfuzz.2018.2883033
|
2 |
TANG Y M, REN F J, PEDRYCZ W. Fuzzy C-Means clustering through SSIM and patch for image segmentation[J]. Applied Soft Computing, 2020, 87: No.105928. 10.1016/j.asoc.2019.105928
|
3 |
BEZDEK J C, EHRLICH R, FULL W. FCM: The fuzzy c-means clustering algorithm[J]. Computers and Geosciences, 1984, 10(2/3): 191-203. 10.1016/0098-3004(84)90020-7
|
4 |
RAO S, TRON R, VIDAL R, et al. Motion segmentation in the presence of outlying, incomplete, or corrupted trajectories[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(10): 1832-1845. 10.1109/tpami.2009.191
|
5 |
MA Y, DERKSEN H, HONG W, et al. Segmentation of multivariate mixed data via lossy data coding and compression[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(9): 1546-1562. 10.1109/tpami.2007.1085
|
6 |
ZHANG C Q, FU H Z, LIU S, et al. Low-rank tensor constrained multiview subspace clustering[C]// Proceedings of the 2015 IEEE International Conference on Computer Vision. Piscataway: IEEE, 2015: 1582-1590. 10.1109/iccv.2015.185
|
7 |
YANG X, DENG C, ZHENG F, et al. Deep spectral clustering using dual autoencoder network[C]// Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2019: 4061-4070. 10.1109/cvpr.2019.00419
|
8 |
NTOUTSI E, STEFANIDIS K, RAUSCH K, et al. "Strength lies in differences": diversifying friends for recommendations through subspace clustering[C]// Proceedings of the 23rd ACM International Conference on Information and Knowledge Management. New York: ACM, 2014: 729-738. 10.1145/2661829.2662026
|
9 |
ZHANG A, FAWAZ N, IOANNIDIS S, et al. Guess who rated this movie: identifying users through subspace clustering[C]// Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence. Arlington, VA: AUAI Press, 2012: 944-953.
|
10 |
SHI J B, MALIK J. Normalized cuts and image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888-905. 10.1109/34.868688
|
11 |
CHEN H Z, WANG W W, FENG X C. Structured sparse subspace clustering with within-cluster grouping[J]. Pattern Recognition, 2018, 83: 107-118. 10.1016/j.patcog.2018.05.020
|
12 |
ELHAMIFAR E, VIDAL R. Sparse subspace clustering: algorithm, theory, and applications[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(11): 2765-2781. 10.1109/tpami.2013.57
|
13 |
CHEN H Z, WANG W W, FENG X C, et al. Discriminative and coherent subspace clustering[J]. Neurocomputing, 2018, 284: 177-186. 10.1016/j.neucom.2018.01.006
|
14 |
LIU G C, LIN Z C, YAN S C, et al. Robust recovery of subspace structures by low-rank representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(1): 171-184. 10.1109/tpami.2012.88
|
15 |
JI P, ZHANG T, LI H D, et al. Deep subspace clustering networks[C]// Proceedings of the 31st International Conference on Neural Information Processing Systems. Red Hook, NY: Curran Associates Inc., 2017: 23-32.
|
16 |
ZHOU P, HOU Y Q, FENG J S. Deep adversarial subspace clustering[C]// Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2018: 1596-1604. 10.1109/cvpr.2018.00172
|
17 |
ZHANG T, JI P, HARANDI M, et al. Neural collaborative subspace clustering[C]// Proceedings of the 36th International Conference on Machine Learning. New York: JMLR.org, 2019: 7384-7393.
|
18 |
ZHANG J J, LI C G, YOU C, et al. Self-supervised convolutional subspace clustering network[C]// Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2019: 5468-5477. 10.1109/cvpr.2019.00562
|
19 |
KHEIRANDISHFARD M, ZOHRIZADEH F, KAMANGAR F. Multi-level representation learning for deep subspace clustering[C]// Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision. Piscataway: IEEE, 2020: 2028-2037. 10.1109/wacv45572.2020.9093277
|
20 |
CAO X C, ZHANG C Q, FU H Z, et al. Diversity-induced multi-view subspace clustering[C]// Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2015: 586-594. 10.1109/cvpr.2015.7298657
|
21 |
WANG Q Q, CHENG J F, GAO Q X, et al. Deep multi-view subspace clustering with unified and discriminative learning[J]. IEEE Transactions on Multimedia, 2021, 23: 3483-3493. 10.1109/tmm.2020.3025666
|
22 |
GRETTON A, BELITSKI A, MURAYAMA Y, et al. The effect of artifacts on dependence measurement in fMRI[J]. Magnetic Resonance Imaging, 2006, 24(4): 401-409. 10.1016/j.mri.2005.12.036
|
23 |
LAUER F, SCHNÖRR C. Spectral clustering of linear subspaces for motion segmentation[C]// Proceedings of the IEEE 12th International Conference on Computer Vision. Piscataway: IEEE, 2009: 678-685. 10.1109/iccv.2009.5459173
|
24 |
ZHANG C Q, FU H Z, LIU S, et al. Low-rank tensor constrained multiview subspace clustering[C]// Proceedings of the 2015 IEEE International Conference on Computer Vision. Piscataway: IEEE, 2015: 1582-1590. 10.1109/iccv.2015.185
|
25 |
LUO S R, ZHANG C Q, ZHANG W, et al. Consistent and specific multi-view subspace clustering[C]// Proceedings of the 32nd AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press, 2018: 3730-3737. 10.1609/aaai.v32i1.11617
|
26 |
PATEL V M, VIDAL R. Kernel sparse subspace clustering[C]// Proceedings of the 2014 IEEE International Conference on Image Processing. Piscataway: IEEE, 2014: 2849-2853. 10.1109/icip.2014.7025576
|
27 |
JI P, SALZMANN M, LI H D. Efficient dense subspace clustering[C]// Proceedings of the 2014 IEEE Winter Conference on Applications of Computer Vision. Piscataway: IEEE, 2014: 461-468. 10.1109/wacv.2014.6836065
|