Deep adversarial subspace clustering
Most existing subspace clustering methods hinge on self-expression of handcrafted representations and are unaware of potential clustering errors. Thus they perform unsatisfactorily on real data with complex underlying subspaces. To solve this issue, we propose a novel deep adversarial subspace clust...
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Main Authors: | ZHOU, Pan, HOU, Yunqing, FENG, Jiashi |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9001 https://ink.library.smu.edu.sg/context/sis_research/article/10004/viewcontent/2018_CVPR_Adversarial_Subspace__1_.pdf |
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Institution: | Singapore Management University |
Language: | English |
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