Journal article Open Access

Linear Maximum Margin Classifier for Learning from Uncertain Data

Christos Tzelepis; Vasileios Mezaris; Ioannis Patras

BibTeX Export

@article{christos_tzelepis_2017_1135049,
  author       = {Christos Tzelepis and
                  Vasileios Mezaris and
                  Ioannis Patras},
  title        = {{Linear Maximum Margin Classifier for Learning from 
                   Uncertain Data}},
  journal      = {{IEEE Transactions on Pattern Analysis and Machine 
                   Intelligence}},
  year         = 2017,
  month        = dec,
  doi          = {10.1109/TPAMI.2017.2772235},
  url          = {https://doi.org/10.1109/TPAMI.2017.2772235}
}
88
53
views
downloads
Views 88
Downloads 53
Data volume 120.3 MB
Unique views 78
Unique downloads 52
More info on how stats are collected.
Indexed in
Publication date:
December 29, 2017
DOI:
10.1109/TPAMI.2017.2772235
Keyword(s):
Classification Convex optimization Gaussian anisotropic uncertainty Large margin methods Learning with uncertainty Statistical learning theory
Published in:
IEEE Transactions on Pattern Analysis and Machine Intelligence:.
Grants:
European Commission:
  • MOVING - Training towards a society of data-savvy information professionals to enable open leadership innovation (693092)
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Share

Cite as

Export