An increasingly common viewpoint is that protein dynamics data sets resi...
We propose a hybrid quantum-classical algorithm to compute approximate
s...
Non-linear filtering approaches allow to obtain decompositions of images...
Non-linear filtering approaches allow to obtain decompositions of images...
Functional lifting methods provide a tool for approximating solutions of...
Low-rank and sparse decompositions and robust PCA (RPCA) are highly
succ...
Lifting methods allow to transform hard variational problems such as
seg...
We present a highly parallel method for accurate and efficient variation...
Thalamic alterations are relevant to many neurological disorders includi...
We present a novel computational approach to fast and memory-efficient
d...
We present and analyse an approach to image reconstruction problems with...
Recognising individual trees within remotely sensed imagery has importan...
Convex relaxations of nonconvex multilabel problems have been demonstrat...
We propose a novel spatially continuous framework for convex relaxations...
We consider a class of quasi-variational inequalities (QVIs) for adaptiv...
We propose the use of the Kantorovich-Rubinstein norm from optimal trans...
We consider a variational convex relaxation of a class of optimal
partit...
We study convex relaxations of the image labeling problem on a continuou...