Latent low-rank representation for subspace segmentation and feature extraction
10.1109/ICCV.2011.6126422
Saved in:
Main Authors: | Liu, G., Yan, S. |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Conference or Workshop Item |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/70771 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Robust recovery of subspace structures by low-rank representation
by: Liu, G., et al.
Published: (2013) -
Robust low-rank subspace segmentation with semidefinite guarantees
by: Ni, Y., et al.
Published: (2013) -
Robust image representation and decomposition by Laplacian regularized latent low-rank representation
by: Zhang, Z., et al.
Published: (2014) -
Active subspace: Toward scalable low-rank learning
by: Liu, G., et al.
Published: (2014) -
Low-rank sparse subspace for spectral clustering
by: ZHU, Xiaofeng, et al.
Published: (2019)