Georgios Papamakarios

Learn More
The robust estimation of the low-dimensional subspace that spans the data from a set of high-dimensional, possibly corrupted by gross errors and outliers observations is fundamental in many computer vision problems. The state-of-the-art robust principal component analysis (PCA) methods adopt convex relaxations of 0 quasi-norm-regularised rank minimisation(More)
This paper presents a tool to support and monitor the execution of common physical exercise interventions targeting people with Mild Cognitive Impairment (MCI), Alzheimer's disease (AD) and elderly in general. Our tool aims (a) to stimulate and guide patients within physical exercise programs , (b) to monitor patient capacity to perform exercises suggested(More)
  • 1