PCA Reduced Gaussian Mixture Models with Applications in Superresolution

16 September 2020

Papers citing "PCA Reduced Gaussian Mixture Models with Applications in Superresolution"

5 / 5 papers shown

Title
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters Sebastian Salwig Till Kahlke F. Hirschberger D. Forster Jorg Lucke VLM 82 0 0 21 Jan 2025
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 24 6 0 27 Dec 2023
Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph A. Emran C. D. Dalle Ore C. Ahrens M. K. H. Khan V. Chevrier D. Cruikshank 36 4 0 15 Jan 2023
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 25 15 0 20 Jan 2022
On EM algorithms and their proximal generalizations Stéphane Chrétien Alfred Hero FedML 60 47 0 27 Jan 2012