Underdetermined blind separation of source using lp-norm diversity measures
Y Xie, K Xie, S Xie - Neurocomputing, 2020 - Elsevier
Blind separation of sources (BSS) is to recover the source signals from the observed mixture
signals with no knowledge on the mixing channel. Recently, there has been more and more …
signals with no knowledge on the mixing channel. Recently, there has been more and more …
Feature-preserving Mumford–Shah mesh processing via nonsmooth nonconvex regularization
Motivated by the success in image processing, the Mumford–Shah functional has attracted
extensive attentions in geometry processing. Existing methods, mainly focusing on …
extensive attentions in geometry processing. Existing methods, mainly focusing on …
Efficient Algorithms for Mumford-Shah and Potts Problems
L Kiefer - 2020 - archiv.ub.uni-heidelberg.de
In this work, we consider Mumford-Shah and Potts models and their higher order
generalizations. Mumford-Shah and Potts models are among the most well-known …
generalizations. Mumford-Shah and Potts models are among the most well-known …
Learning attributed graphs representations
Y Kaloga - 2021 - theses.hal.science
L'apprentissage automatique est devenu un sujet populaire de recherche ces dernières
années, grâce à la réintroduction des réseaux de neurones au début des années 2010 …
années, grâce à la réintroduction des réseaux de neurones au début des années 2010 …