Fetching the paper…
Reading the bibliography…
Subspace clustering is an unsupervised clustering technique designed to cluster data that is supported on a union of linear subspaces, with each subspace defining a cluster with dimension lower than the ambient space.
A multi-body factorization method for motion analysis
Joao Costeira and Takeo Kanade · 1995
Earlier work this paper cites.
A tutorial on spectral clustering
Ulrike von Luxburg · 2007
Earlier work this paper cites.
Sparse subspace clustering
Ehsan Elhamifar and René Vidal · 2009
Earlier work this paper cites.
Robust and efficient subspace segmentation via least squares regression
Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, and Shuicheng Yan · 2012
Earlier work this paper cites.
A geometric analysis of subspace clustering with outliers
Mahdi Soltanolkotabi and Emmanuel J. Candès · 2012
Earlier work this paper cites.
Sparse subspace clustering: Algorithm, theory, and applications
Ehsan Elhamifar and René Vidal · 2013
Earlier work this paper cites.
Robust recovery of subspace structures by low-rank representation
Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, and Yi Ma · 2013
Earlier work this paper cites.
Proximal Algorithms
N. Parikh and S. Boyd · 2013
Earlier work this paper cites.
Latent space sparse subspace clustering
V. M. Patel, H. V. Nguyen, and R. Vidal · 2013
Earlier work this paper cites.
Kernel sparse subspace clustering
V. M. Patel and R. Vidal · 2014
Earlier work this paper cites.
Robust subspace clustering
Mahdi Soltanolkotabi, Ehsan Elhamifar, and Emmanuel J. Candès · 2014
Earlier work this paper cites.
Low rank subspace clustering (LRSC)
René Vidal and Paolo Favaro · 2014
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Latent space sparse and low-rank subspace clustering
V. M. Patel, H. V. Nguyen, and R. Vidal · 2015
Cited alongside, same era.
A deterministic analysis of noisy sparse subspace clustering for dimensionality-reduced data
Yining Wang, Yu-Xiang Wang, and Aarti Singh · 2015
Cited alongside, same era.
Generalized Principal Component Analysis
René Vidal, Yi Ma, and Shankar Sastry · 2016
Cited alongside, same era.
Noisy sparse subspace clustering
Yu-Xiang Wang and Huan Xu · 2016
Cited alongside, same era.
ℓ 0 \ell_{0} -sparse subspace clustering
Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, and Thomas S Huang · 2016
Cited alongside, same era.
Oracle based active set algorithm for scalable elastic net subspace clustering
Chong You, Chun-Guang Li, Daniel P. Robinson, and René Vidal · 2016
Cited alongside, same era.
Theoretical analysis of sparse subspace clustering with missing entries
Manolis C. Tsakiris and René Vidal · 2018
Later among the works it cites.
Generalized latent multi-view subspace clustering
Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, and Dong Xu · 2018
Later among the works it cites.
Deep adversarial subspace clustering
Pan Zhou, Yunqing Hou, and Jiashi Feng · 2018
Later among the works it cites.
Duet robust deep subspace clustering
Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang · 2019
Later among the works it cites.
Reciprocal multi-layer subspace learning for multi-view clustering
Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Tianyi Zhou, and Qinghua Hu · 2019
Later among the works it cites.
Basis pursuit and orthogonal matching pursuit for subspace-preserving recovery: Theoretical analysis
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Deep subspace clustering networks
Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, and Ian Reid · 2017
Cited alongside, same era.
Deep sparse subspace clustering
Xi Peng, Jiashi Feng, Shijie Xiao, Jiwen Lu, Zhang Yi, and Shuicheng Yan · 2017
Cited alongside, same era.
Understanding deep learning requires rethinking generalization
C. Zhang, S. Bengio, M. Hardt, and B. Recht · 2017
Cited alongside, same era.
Deep multimodal subspace clustering networks
Mahdi Abavisani and Vishal M Patel · 2018
Cited alongside, same era.
When to learn what: Deep cognitive subspace clustering
Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, and Qingming Huang · 2018
Cited alongside, same era.
On geometric analysis of affine sparse subspace clustering
Chun-Guang Li, Chong You, and René Vidal · 2018
Cited alongside, same era.
Daniel P Robinson, Rene Vidal, and Chong You · 2019
Later among the works it cites.
Self-supervised deep multi-view subspace clustering
Xiukun Sun, Miaomiao Cheng, Chen Min, and Liping Jing · 2019
Later among the works it cites.
Residual encoder-decoder network for deep subspace clustering
Shuai Yang, Wenqi Zhu, and Yuesheng Zhu · 2019
Later among the works it cites.
Is an affine constraint needed for affine subspace clustering?
Chong You, Chun-Guang Li, Daniel P. Robinson, and René Vidal · 2019
Later among the works it cites.
Spectral-spatial clustering of hyperspectral image based on laplacian regularized deep subspace clustering
Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, and Xiang Li · 2019
Later among the works it cites.
Latent distribution preserving deep subspace clustering
Lei Zhou, Bai Xiao, Xianglong Liu, Jun Zhou, Edwin R Hancock, et al · 2019
Later among the works it cites.
Robust kernelized multiview self-representation for subspace clustering
Yuan Xie, Jinyan Liu, Yanyun Qu, Dacheng Tao, Wensheng Zhang, Longquan Dai, and Lizhuang Ma · 2020
Closest in time.
Multi-level representation learning for deep subspace clustering
Mohsen Kheirandishfard, Fariba Zohrizadeh, and Farhad Kamangar · 2048
Closest in time.