We provide two closed-form geodesic formulas for a family of metrics on Stiefel manifold, parameterized by two positive numbers, having both the embedded and canonical metrics as special cases. The closed-form formulas allow us to compute geodesics by matrix exponential in reduced dimension for low-rank manifolds. Combining with the use of Fr{\'e}chet derivatives to compute the gradient of the square Frobenius distance between a geodesic ending point to a given point on the manifold, we show the logarithm map and geodesic distance between two endpoints on the manifold could be computed by {\it minimizing} this square distance by a {\it trust-region} solver. This leads to a new framework to compute the geodesic distance for manifolds with kn...
Projecting the distance measures onto a low-dimensional space is an efficient way of mitigating the ...
An algorithm for computing intrinsic distance functions and geodesics on sub-manifolds of Rd given b...
International audienceParallel transport on Riemannian manifolds allows one to connect tangent space...
Several applications in optimization, image, and signal processing deal with data belonging to matri...
We provide an explicit formula for the Levi-Civita connection and Riemannian Hessian for a Riemannia...
Abstract—The squared distance function is one of the standard functions on which an optimization alg...
A unified framework for studying extremal curves on real Stiefel manifolds is presented. We start wi...
Several applications in optimization, image and signal processing deal with data that belong to the ...
We compute the length of geodesics on a Riemannian manifold by regular polynomial interpolation of ...
Optimization problems on the generalized Stiefel manifold (and products of it) are prevalent across ...
International audienceThis paper reviews both the theory and practice of the numerical computation o...
SIGLETIB: RO 2556 (12) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbib...
International audienceThis paper focuses on the study of open curves in a Riemannian manifold M, and...
I present a geometrical method that produces the fundamental holomorphic surface of the complex loga...
Manifolds discovered by machine learning models provide a compact representation of the underlying d...
Projecting the distance measures onto a low-dimensional space is an efficient way of mitigating the ...
An algorithm for computing intrinsic distance functions and geodesics on sub-manifolds of Rd given b...
International audienceParallel transport on Riemannian manifolds allows one to connect tangent space...
Several applications in optimization, image, and signal processing deal with data belonging to matri...
We provide an explicit formula for the Levi-Civita connection and Riemannian Hessian for a Riemannia...
Abstract—The squared distance function is one of the standard functions on which an optimization alg...
A unified framework for studying extremal curves on real Stiefel manifolds is presented. We start wi...
Several applications in optimization, image and signal processing deal with data that belong to the ...
We compute the length of geodesics on a Riemannian manifold by regular polynomial interpolation of ...
Optimization problems on the generalized Stiefel manifold (and products of it) are prevalent across ...
International audienceThis paper reviews both the theory and practice of the numerical computation o...
SIGLETIB: RO 2556 (12) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbib...
International audienceThis paper focuses on the study of open curves in a Riemannian manifold M, and...
I present a geometrical method that produces the fundamental holomorphic surface of the complex loga...
Manifolds discovered by machine learning models provide a compact representation of the underlying d...
Projecting the distance measures onto a low-dimensional space is an efficient way of mitigating the ...
An algorithm for computing intrinsic distance functions and geodesics on sub-manifolds of Rd given b...
International audienceParallel transport on Riemannian manifolds allows one to connect tangent space...