Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider

1 code implementation • 16 May 2021 • Anna Stakia, Tommaso Dorigo, Giovanni Banelli, Daniela Bortoletto, Alessandro Casa, Pablo de Castro, Christophe Delaere, Julien Donini, Livio Finos, Michele Gallinaro, Andrea Giammanco, Alexander Held, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler

Between the years 2015 and 2019, members of the Horizon 2020-funded Innovative Training Network named "AMVA4NewPhysics" studied the customization and application of advanced multivariate analysis methods and statistical learning tools to high-energy physics problems, as well as developed entirely new ones.

Nonparametric clustering for image segmentation

no code implementations • 20 Jan 2021 • Giovanna Menardi

Image segmentation aims at identifying regions of interest within an image, by grouping pixels according to their properties.

Clustering Image Segmentation +4

Modal clustering asymptotics with applications to bandwidth selection

no code implementations • 22 Jan 2019 • Alessandro Casa, José E. Chacón, Giovanna Menardi

Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the data.

Clustering Density Estimation