A Convex Optimization Framework for Regularized Geodesic Distances.

Michal Edelstein Nestor Guillen Justin Solomon Mirela Ben-Chen

Published in: CoRR (2023)

Keyphrases

convex optimization
norm minimization
model selection
geodesic distance
similarity measure
least squares
image processing
object recognition
probabilistic model
manifold learning
interior point methods