output
20172019
most citedEigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces

113 citations

6 papers

eess.SP2019★ 18 cited

Fast 3D Extended Target Tracking using NURBS Surfaces

Benjamin Naujoks, Patrick Burger, Hans-Joachim Wuensche

This paper proposes fast and novel methods to jointly estimate the target's unknown 3D shape and dynamics. Measurements are noisy and sparsely distributed 3D points from a light de…

math-ph2019★ 3 cited

Existence of relativistic dynamics for two directly interacting Dirac particles in 1+3 dimensions

Matthias Lienert, Markus Nöth

Here we prove the existence and uniqueness of solutions of a class of integral equations describing two Dirac particles in 1+3 dimensions with direct interactions. This class of in…

math.FA2018★ 10 cited

Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces

Mattes Mollenhauer, Ingmar Schuster, Stefan Klus +1

Reproducing kernel Hilbert spaces (RKHSs) play an important role in many statistics and machine learning applications ranging from support vector machines to Gaussian processes and…

math.DS2017★ 113 cited

Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces

Stefan Klus, Ingmar Schuster, Krikamol Muandet

Transfer operators such as the Perron--Frobenius or Koopman operator play an important role in the global analysis of complex dynamical systems. The eigenfunctions of these operato…

astro-ph.EP2017★ 24 cited

CASTAway: An Asteroid Main Belt Tour and Survey

N. E. Bowles, C. Snodgrass, A Gibbings +42

CASTAway is a mission concept to explore our Solar System's main asteroid belt. Asteroids and comets provide a window into the formation and evolution of our Solar System and the c…

cs.CV2017★ 6 cited

Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers

Ryan Henderson, Rasmus Rothe

Picasso is a free open-source (Eclipse Public License) web application written in Python for rendering standard visualizations useful for analyzing convolutional neural networks. P…