Tootfinder

Looking forward to it!
https://mastodon.social/@karlgroves/114534519629700177

Eieiei, s'isch alleweil ebbes. Bitte unterschreiben und teilen.
http://www.gehtsnochkarlsruhe.de/
#Karlsruhe

Mein Vortrag zur Digitalen Gewalt gestern im #ZKM in Karlsruhe bei der #GPN23 ist online.
Wen betrifft sie? Wer muss sich vor Ferienwohnungen fürchten? Was hat die neue Bundesregierung dazu vor, und warum nicht? Was hat das mit Kommunalpolitik zu tun? Und was kostet das überhaupt?
Aber auch: W…

Good Morning Karlsruhe! Day 02 of the Effekte Science Festival with our booth presenting the Wiedergutmachung project, a huge digitalisation effort on historical archival documents on the recompensation processes of nationalsocialist injustice
@… @…

I was so busy with all the preparations, that I forgot to tell you: I‘m at #NeosCon! Yeah, it’s that time of the year again, meeting old and new friends and recharging our community batteries. As always, we’re having such a great time! I‘ll post some more details after the conference.
Greetings from Karlsruhe!

#GPN23 PSA: Heute ist Fronleichnam, somit ist in Karlsruhe außer Eisdielen so ziemlich alles geschlossen.

A penalized least squares estimator for extreme-value mixture models
Anas Mourahib, Anna Kiriliouk, Johan Segers
https://arxiv.org/abs/2506.15272 https://

A penalized least squares estimator for extreme-value mixture models
Estimating the parameters of max-stable parametric models poses significant challenges, particularly when some parameters lie on the boundary of the parameter space. This situation arises when a subset of variables exhibits extreme values simultaneously, while the remaining variables do not -- a phenomenon referred to as an extreme direction in the literature. In this paper, we propose a novel estimator for the parameters of a general parametric mixture model, incorporating a penalization appro…

Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation
Yuxuan Xia, \'Angel F. Garc\'ia-Fern\'andez, Johan Karlsson, Yu Ge, Lennart Svensson, Ting Yuan
https://arxiv.org/abs/2506.15148

Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation
This paper presents a generalization of the trajectory general optimal sub-pattern assignment (GOSPA) metric for evaluating multi-object tracking algorithms that provide trajectory estimates with track-level uncertainties. This metric builds on the recently introduced probabilistic GOSPA metric to account for both the existence and state estimation uncertainties of individual object states. Similar to trajectory GOSPA (TGOSPA), it can be formulated as a multidimensional assignment problem, and …

Measurement of the photosphere oblateness of $\gamma$ Cassiopeiae via Stellar Intensity Interferometry with the VERITAS Observatory
A. Archer, J. P. Aufdenberg, P. Bangale, J. T. Bartkoske, W. Benbow, J. H. Buckley, Y. Chen, N. B. Y. Chin, J. L. Christiansen, A. J. Chromey, A. Duerr, M. Escobar Godoy, S. Feldman, Q. Feng, S. Filbert, L. Fortson, A. Furniss, W. Hanlon, O. Hervet, C. E. Hinrichs, J. Holder, Z. Hughes, T. B. Humensky, W. Jin, M. N. Johnson, M. Kertzman, M. Kherlakian, D. …

Measurement of the photosphere oblateness of $γ$ Cassiopeiae via Stellar Intensity Interferometry with the VERITAS Observatory
We use the stellar intensity interferometry system implemented with the Very Energetic Radiation Imaging Telescope Array System (VERITAS) at Fred Lawrence Whipple Observatory (FLWO) as a light collector to obtain measurements of the rapid rotator star $γ$ Cassiopeiae, at a wavelength of 416 nm. Using data from baselines sampling different position angles, we extract the size, oblateness, and projected orientation of the photosphere. Fitting the data with a uniform ellipse model yields a minor-…