FA-MCADF: Feature Affinity based Multiple Correspondence Analysis and Decision Fusion Framework for Disaster Information Management Conference

Tian, Haiman, Chen, Shu-Ching, Rubin, Stuart H et al. (2017). FA-MCADF: Feature Affinity based Multiple Correspondence Analysis and Decision Fusion Framework for Disaster Information Management . 198-206. 10.1109/IRI.2017.20

cited authors

  • Tian, Haiman; Chen, Shu-Ching; Rubin, Stuart H; Grefe, William K

sustainable development goals

authors

date/time interval

  • August 4, 2017 -

publication date

  • January 1, 2017

keywords

  • CLASSIFICATION
  • Computer Science
  • Computer Science, Information Systems
  • Disaster Information Management
  • Feature Affinity based MCA (FAMCA)
  • Multimedia Semantic Concept Detection
  • Multiple Correspondence Analysis (MCA)
  • SELECTION
  • SEMANTIC CONCEPT DETECTION
  • Science & Technology
  • Technology
  • VIDEO

Location

  • San Diego, CA

Digital Object Identifier (DOI)

Conference

  • IEEE 18th International Conference on Information Reuse and Integration (IRI)

publisher

  • IEEE

start page

  • 198

end page

  • 206