Compressive classification via secant projections

Yun Li, Chinmay Hegde, Richard G. Baraniuk, Kevin F. Kelly

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

Abstract

One novel dimensional reduction method based on manifold modeling is applied on Rice single pixel camera for targets classification. The number of measurements is at least halved compared with equivalent classification result via random projections.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2013
PublisherOptical Society of America
ISBN (Print)9781557529756
StatePublished - Jan 1 2013
EventComputational Optical Sensing and Imaging, COSI 2013 - Arlington, VA, United States
Duration: Jun 23 2013Jun 27 2013

Other

OtherComputational Optical Sensing and Imaging, COSI 2013
CountryUnited States
CityArlington, VA
Period6/23/136/27/13

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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