Convergence rates for critical point regularization.
Daniel ObmannMarkus HaltmeierPublished in: CoRR (2023)
Keyphrases
- convergence rate
- critical points
- convergence speed
- gaussian kernels
- learning rate
- scale space
- vector field
- deep structure
- morse theory
- conjugate gradient
- primal dual
- regularization parameter
- global convergence
- stopping criterion
- endpoints
- neural network
- low memory requirements
- false positives
- feature points
- dynamic programming
- object recognition
- similarity measure
- machine learning