publication . Preprint . Article . Other literature type . 2018

Linear Maximum Margin Classifier for Learning from Uncertain Data

Ioannis Patras; Christos Tzelepis; Vasileios Mezaris;
Open Access English
  • Published: 01 Dec 2018
Abstract
Comment: IEEE Transactions on Pattern Analysis and Machine Intelligence. (c) 2017 IEEE. DOI: 10.1109/TPAMI.2017.2772235 Author's accepted version. The final publication is available at http://ieeexplore.ieee.org/document/8103808/
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Computer Science - Learning, Classification, Convex optimization, Gaussian anisotropic uncertainty, Large margin methods, Learning with uncertainty, Pattern recognition, Statistical learning theory, Stochastic gradient descent, Support vector machine, Gaussian process, symbols.namesake, symbols, Artificial intelligence, business.industry, business, Mathematics, MNIST database, Margin classifier, Margin (machine learning), Uncertain data
Funded by
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
,
EC| LINKEDTV
Project
LINKEDTV
Television Linked To The Web
  • Funder: European Commission (EC)
  • Project Code: 287911
  • Funding stream: FP7 | SP1 | ICT
,
EC| FORGETIT
Project
FORGETIT
Concise Preservation by combining Managed Forgetting and Contextualized Remembering
  • Funder: European Commission (EC)
  • Project Code: 600826
  • Funding stream: FP7 | SP1 | ICT
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