Gromov-Wasserstein Averaging of Kernel and Distance Matrices.

Gabriel Peyré Marco Cuturi Justin Solomon

Published in: ICML (2016)

Keyphrases

hausdorff distance
positive definite
distance matrix
distance measure
kernel function
support vector
jensen shannon
positive semidefinite
kernel methods
euclidean distance
distance transform
hamming distance
kernel regression
least squares
feature space
convolution kernel
machine learning