Deep adversarial subspace clustering

• Main Authors: ZHOU, Pan, HOU, Yunqing, FENG, Jiashi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Generators; Clustering methods; Fasteners; Task analysis; Feeds; Estimation; Graphics and Human Computer Interfaces
• 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
• Institution: Singapore Management University

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...