105 citations · 761 across the 48 of their papers we have counts for
6 papers · 1 filter
Non-planar sensing skins for structural health monitoring based on electrical resistance tomography
Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen +1
Electrical resistance tomography (ERT) -based distributed surface sensing systems, or sensing skins, offer alternative sensing techniques for structural health monitoring, providin…
Regularisation, optimisation, subregularity
Tuomo Valkonen
Regularisation theory in Banach spaces, and non--norm-squared regularisation even in finite dimensions, generally relies upon Bregman divergences to replace norm convergence. This…
Inverse problems with second-order Total Generalized Variation constraints
Kristian Bredies, Tuomo Valkonen
Total Generalized Variation (TGV) has recently been introduced as penalty functional for modelling images with edges as well as smooth variations. It can be interpreted as a "spars…
Relaxed Gauss-Newton methods with applications to electrical impedance tomography
Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen +1
As second-order methods, Gauss--Newton-type methods can be more effective than first-order methods for the solution of nonsmooth optimization problems with expensive-to-evaluate sm…
Predictive online optimisation with applications to optical flow
Tuomo Valkonen
Online optimisation revolves around new data being introduced into a problem while it is still being solved; think of deep learning as more training samples become available. We ad…
Introduction to Nonsmooth Analysis and Optimization
Christian Clason, Tuomo Valkonen
Functions that are not differentiable in the classical sense have become a central tool in modern mathematical models for imaging, inverse problems, machine learning, and optimal c…