CONCLUSIONS

• New Model for Robust Regularization.

• Provides new insight for

  • The parameter selection.
  • Design new potentials

• Gauss-Newton Algorithm for limited memory

  • “Fast en efficient.”
  • Guarantees convergence.

mrivera@cimat.mx

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