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Supervised nonlinear dimension reduction of functional magnetic resonance imaging data using Sliced Inverse Regression.

Yiheng TuAo TanZening FuYeung Sam HungLi HuZhiguo Zhang
Published in: EMBC (2015)
Keyphrases
  • functional magnetic resonance imaging
  • data sets
  • data analysis
  • sensor data
  • high quality
  • ground truth
  • activation patterns
  • high dimensional
  • semi supervised
  • regression model
  • human brain
  • human subjects
  • brain regions