2 papers
math.OC2020
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…
stat.AP2018
Gaussian process regression for forest attribute estimation from airborne laser scanning data
Petri Varvia, Timo Lähivaara, Matti Maltamo +2
While the analysis of airborne laser scanning (ALS) data often provides reliable estimates for certain forest stand attributes -- such as total volume or basal area -- there is sti…