Manifold transfer subspace learning (MTSL) for high dimensional data—applications to handwritten digits and health informatics

Olga Mendoza-Schrock, Mateen M. Rizki, Michael L. Raymer, Vincent J. Velten

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti
PublisherCSREA Press
Pages3-9
Number of pages7
ISBN (Electronic)1601324642, 9781601324641
StatePublished - 2017
Externally publishedYes
Event2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017 - Las Vegas, United States
Duration: Jul 17 2017Jul 20 2017

Publication series

NameProceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017

Conference

Conference2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2017
Country/TerritoryUnited States
CityLas Vegas
Period7/17/177/20/17

ASJC Scopus Subject Areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Keywords

  • Electro-optical imaging
  • Health informatics
  • Manifold learning
  • Transfer learning
  • Transfer subspace learning

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