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Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs.

Xiaoyu MiaoAimin JiangTao LiuYanping ZhuHon Keung Kwan
Published in: IEEE Trans. Signal Inf. Process. over Networks (2022)
Keyphrases
  • kernel regression
  • regression model
  • nadaraya watson
  • signal processing
  • linear regression
  • parameter optimization
  • sample size
  • regression methods
  • maximum likelihood
  • low dimensional