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Low-complexity learning of Linear Quadratic Regulators from noisy data.

Claudio De PersisPietro Tesi
Published in: Autom. (2021)
Keyphrases
  • low complexity
  • noisy data
  • noise tolerant
  • learning algorithm
  • computational complexity
  • motion estimation
  • computer vision
  • multiscale
  • pattern recognition
  • image data
  • background subtraction
  • learning problems