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Harmonic Active Contours for multichannel image segmentation

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Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Nicolas Henri Bernard Flammarion

We consider minimizing a nonconvex, smooth function

f

on a Riemannian manifold

\mathcal{M}

. We show that a perturbed version of Riemannian gradient descent algorithm converges to a second-order stationary point (and hence is able to escape saddle point ...

2019

Harmonic Active Contours for multichannel image segmentation

Graph Chatbot

Chattez avec Graph Search

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

On The Singular Set In The Thin Obstacle Problem: Higher-Order Blow-Ups And The Very Thin Obstacle Problem

Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control

Escaping from saddle points on Riemannian manifolds

A Gauss-Bonnet Theorem for Asymptotically Conical Manifolds and Manifolds with Conical Singularities

Renormalization of quantum field theory on Riemannian manifolds

Some regularity results for p-harmonic mappings between Riemannian manifolds

Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Detecting Anisotropic Inclusions Through EIT

A Gauss-Bonnet Theorem for Asymptotically Conical Manifolds and Manifolds with Conical Singularities

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

Renormalization of quantum field theory on Riemannian manifolds

On The Singular Set In The Thin Obstacle Problem: Higher-Order Blow-Ups And The Very Thin Obstacle Problem

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control

Escaping from saddle points on Riemannian manifolds

Some regularity results for p-harmonic mappings between Riemannian manifolds

Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Detecting Anisotropic Inclusions Through EIT