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Feature space variational Bayesian linear regression and its combination with model space VBLR.

Seong-Jun HahmAtsunori OgawaMarc DelcroixMasakiyo FujimotoTakaaki HoriAtsushi Nakamura
Published in: ICASSP (2013)
Keyphrases
  • linear regression
  • feature space
  • variational bayesian
  • computer vision
  • least squares
  • statistical model
  • high dimensional
  • probabilistic model
  • feature vectors
  • input data
  • parameter estimation