71 citations · 87 across the 3 of their papers we have counts for
3 papers
quant-ph2019★ 16 cited
Uncertainties of genuinely incompatible triple measurements based on statistical distance
Hui-Hui Qin, Ting-Gui Zhang, Leonardo Jost +3
We investigate the measurement uncertainties of a triple of positive operator-valued measures (POVMs) based on statistical distance, and formulate state-independent tight uncertain…
stat.ML2013★ 71 cited
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein, Simon Setzer, Leonardo Jost +1
Hypergraphs allow one to encode higher-order relationships in data and are thus a very flexible modeling tool. Current learning methods are either based on approximations of the hy…
stat.ML2013
Nonlinear Eigenproblems in Data Analysis - Balanced Graph Cuts and the RatioDCA-Prox
Leonardo Jost, Simon Setzer, Matthias Hein
It has been recently shown that a large class of balanced graph cuts allows for an exact relaxation into a nonlinear eigenproblem. We review briefly some of these results and propo…