Zobrazeno 1 - 10
of 1 795
pro vyhledávání: '"Wiemann P"'
Publikováno v:
RSS Workshop on Semantics for Robotics: From Environment Understanding and Reasoning to Safe Interaction 2024
In this paper, we present a novel method for 3D geometric scene graph generation using range sensors and RGB cameras. We initially detect instance-wise keypoints with a YOLOv8s model to compute 6D pose estimates of known objects by solving PnP. We us
Externí odkaz:
http://arxiv.org/abs/2408.04979
Penalized transformation models (PTMs) are a novel form of location-scale regression. In PTMs, the shape of the response's conditional distribution is estimated directly from the data, and structured additive predictors are placed on its location and
Externí odkaz:
http://arxiv.org/abs/2404.07440
This paper discusses pairing double/debiased machine learning (DDML) with stacking, a model averaging method for combining multiple candidate learners, to estimate structural parameters. In addition to conventional stacking, we consider two stacking
Externí odkaz:
http://arxiv.org/abs/2401.01645
Autor:
Wiemann, Thomas
This paper discusses estimation with a categorical instrumental variable in settings with potentially few observations per category. The proposed categorical instrumental variable estimator (CIV) leverages a regularization assumption that implies exi
Externí odkaz:
http://arxiv.org/abs/2311.17021
Multivariate spatial fields are of interest in many applications, including climate model emulation. Not only can the marginal spatial fields be subject to nonstationarity, but the dependence structure among the marginal fields and between the fields
Externí odkaz:
http://arxiv.org/abs/2311.06220
This paper presents FeatSense, a feature-based GPU-accelerated SLAM system for high resolution LiDARs, combined with a map generation algorithm for real-time generation of large Truncated Signed Distance Fields (TSDFs) on embedded hardware. FeatSense
Externí odkaz:
http://arxiv.org/abs/2310.05766
Monte Carlo Localization is a widely used approach in the field of mobile robotics. While this problem has been well studied in the 2D case, global localization in 3D maps with six degrees of freedom has so far been too computationally demanding. Hen
Externí odkaz:
http://arxiv.org/abs/2310.04172
Autor:
Marques, Isa, Wiemann, Paul F. V.
A common phenomenon in spatial regression models is spatial confounding. This phenomenon occurs when spatially indexed covariates modeling the mean of the response are correlated with a spatial effect included in the model. spatial+ Dupont et al. (20
Externí odkaz:
http://arxiv.org/abs/2309.05496
Autor:
Clara A. Weigle, Oliver Beetz, Bengt A. Wiemann, Philipp Tessmer, Simon Störzer, Sebastian Cammann, Florian W. R. Vondran, Felix Oldhafer, Moritz Schmelzle, Nicolas Richter
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The rapidly aging population in industrialized countries comes with an increased incidence of intrahepatic cholangiocarcinoma (iCC) which presents new challenges for oncological treatments especially in elderly patients. Thus, the question a
Externí odkaz:
https://doaj.org/article/9c7385ee9b714f2faeabcf3d568b538a
We introduce the package ddml for Double/Debiased Machine Learning (DDML) in Stata. Estimators of causal parameters for five different econometric models are supported, allowing for flexible estimation of causal effects of endogenous variables in set
Externí odkaz:
http://arxiv.org/abs/2301.09397