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Kernel Regression Over Graphs Using Random Fourier Features.

Vitor Rosa Meireles EliasVinay Chakravarthi GogineniWallace A. MartinsStefan Werner
Published in: IEEE Trans. Signal Process. (2022)
Keyphrases
  • kernel regression
  • feature space
  • parameter optimization
  • image sequences
  • feature extraction
  • nadaraya watson
  • neural network
  • feature vectors
  • optical flow
  • feature set
  • extracted features