"Efficient l1-Norm-Based Low-Rank Matrix Approximations for ..."

Eunwoo Kim et al. (2015)

> Home

Details and statistics

DOI: 10.1109/TNNLS.2014.2312535

access: closed

type: Journal Article

metadata version: 2021-07-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tnn/KimLCKO15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnn/KimLCKO15
Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, Songhwai Oh:
Efficient l₁-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. IEEE Trans. Neural Networks Learn. Syst. 26(2): 237-251 (2015)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.