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Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
The focus of this paper is the processing of data from multiple LiDAR (light detection and ranging) sensors for the purpose of detecting persons in that data. Many LiDAR sensors (e.g., laser scanners)...
The prime objective of this paper is to develop a new method for regularizing noisy building outlines extracted from airborne LiDAR data. For the last few decades, a lot of research efforts have been ...
In this paper we estimate the motion between time-lagged Synthetic Aperture Radar (SAR) image pairs via an implicit quad-tree scheme. The algorithm provides a means to estimate motion at a spatial res...
In this paper we propose to link Markov Chain Monte Carlo – MCMC in the spirit of (Dick, Torr, and Cipolla, 2004) with information from Implicit Shape Models – ISM (Leibe and Schiele, 2004) and with P...
In this paper we propose to link Markov Chain Monte Carlo – MCMC in the spirit of (Dick, Torr, and Cipolla, 2004) with information from Implicit Shape Models – ISM (Leibe and Schiele, 2004) and with P...
Geographical data sets contain a huge amount of information about spatial phenomena. The exploitation of this knowledge with the aim to make it usable in an internet search engine is one of the goals...
An implicit multigrid-driven algorithm for two-dimensional incompressible laminar viscous ows has been coupled with a solution adaptation method and a mesh movement method for boundary movement.Time-...
In current practice, unsteady flow simulations for turbomachinery are performed using a dual-time-stepping scheme. This work is motivated by the need to solve the time accurate Navier-Stokes equ...
An implicit muItigrid-driven algorithm for two-dimensional incompres ible laminar viscous flows is coupled with a mesh adaptation method to better capture the important features of the flow for time d...
A grid adaptation strategy is used to capture the wave motions as well as the wavemaker's oscillations. Comparisons are made between the numerical solutions and the tank measurements for the plunging ...
The present work is aimed at the development of a robust, computationally efficient algorithm for the simulation of unsteady incompressible flows of interest in engineering. In particular, we focus on...
A bounding surface J2-plasticity model that uses Prager’s translation rule is presented. The model preserves Masing’s rules and is developed from the same ideas as classical innitesimal J2-plasticity...
We present a new fully-implicit algorithm for unsteady incompressible flow calculations for both the Euler and Navier-Stokes equations. The new method couples the artificial compressibility ap-proach ...
A new fully-implicit approach for computing transonic aeroelastic solutions is presented. The unsteady Euler equations are coupled with a typical section swept wing model and integrated forward in tim...

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