Login / Signup

Riemannian Statistics Meets Random Matrix Theory: Toward Learning From High-Dimensional Covariance Matrices.

Salem SaidSimon HeuvelineCyrus Mostajeran
Published in: IEEE Trans. Inf. Theory (2023)
Keyphrases
  • covariance matrices
  • high dimensional
  • unsupervised learning
  • learning algorithm
  • image segmentation
  • covariance matrix
  • learning tasks
  • reinforcement learning
  • active learning
  • model selection