Zobrazeno 1 - 10
of 103 435
pro vyhledávání: '"A, Roos"'
High-precision surface defect detection in manufacturing is essential for ensuring quality control. Laser triangulation profilometric sensors are key to this process, providing detailed and accurate surface measurements over a line. To achieve a comp
Externí odkaz:
http://arxiv.org/abs/2409.03429
Approximate nearest neighbor (ANN) search is a key component in many modern machine learning pipelines; recent use cases include retrieval-augmented generation (RAG) and vector databases. Clustering-based ANN algorithms, that use score computation me
Externí odkaz:
http://arxiv.org/abs/2410.18926
Autor:
Rafiei, M., Das, S., Bakhtiari, M., Roos, E. M., Skou, S. T., Grønne, D. T., Baumbach, J., Baumbach, L.
Knee osteoarthritis (OA) is a widespread chronic condition that impairs mobility and diminishes quality of life. Despite the proven benefits of exercise therapy and patient education in managing the OA symptoms pain and functional limitations, these
Externí odkaz:
http://arxiv.org/abs/2410.12597
Accurate ocean forecasting systems are vital for understanding marine dynamics, which play a crucial role in environmental management and climate adaptation strategies. Traditional numerical solvers, while effective, are computationally expensive and
Externí odkaz:
http://arxiv.org/abs/2410.11807
With the next generation of big telescopes such as the ELT and SKA it might become possible to measure changes in the expansion rate of the Universe in real time by measuring the change of the redshifts of a large number of galaxies over a period of
Externí odkaz:
http://arxiv.org/abs/2410.08741
Autor:
Das, Supratim, Rafie, Mahdie, Kammer, Paula, Skou, Søren T., Grønne, Dorte T., Roos, Ewa M., Hajek, André, König, Hans-Helmut, Ullaha, Md Shihab, Probul, Niklas, Baumbacha, Jan, Baumbach, Linda
Background: Patient-reported survey data are used to train prognostic models aimed at improving healthcare. However, such data are typically available multi-centric and, for privacy reasons, cannot easily be centralized in one data repository. Models
Externí odkaz:
http://arxiv.org/abs/2409.07997
In non-relativistic physics the concepts of geometry and topology are usually applied to characterise spatial structures, or structures in momentum space. We introduce the concept of temporal geometry, which encompasses the geometric and topological
Externí odkaz:
http://arxiv.org/abs/2409.02500
Autor:
Roos, Bero
We use the Stein-Chen method to prove new explicit inequalities for the total variation, Wasserstein and local distances between the distribution of a random diagonal sum of a Bernoulli matrix and a Poisson distribution. Approximation results using a
Externí odkaz:
http://arxiv.org/abs/2409.01845
We say of an isolated macroscopic quantum system in a pure state $\psi$ that it is in macroscopic thermal equilibrium if $\psi$ lies in or close to a suitable subspace $\mathcal{H}_{eq}$ of Hilbert space. It is known that every initial state $\psi_0$
Externí odkaz:
http://arxiv.org/abs/2408.15832
Publikováno v:
PMLR 84:948-957, 2018
We introduce an information theoretic criterion for Bayesian network structure learning which we call quotient normalized maximum likelihood (qNML). In contrast to the closely related factorized normalized maximum likelihood criterion, qNML satisfies
Externí odkaz:
http://arxiv.org/abs/2408.14935