Local Binary and Multiclass SVMs Trained on a Quantum Annealer

1 code implementation • 13 Mar 2024 • Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

In the last years, with the advent of working quantum annealers, hybrid SVM models characterised by quantum training and classical execution have been introduced.

Earth Observation

A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification

no code implementations • 21 Mar 2023 • Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro

Several versions of the quantum SVM have been proposed, and quantum annealing has been shown to be effective in them.

Quantum Machine Learning

JUWELS Booster -- A Supercomputer for Large-Scale AI Research

no code implementations • 30 Jun 2021 • Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert

In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the J\"ulich Supercomputing Center.

Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study

no code implementations • 9 Jul 2017 • Pedram Ghamisi, Gabriele Cavallaro, Dan, Wu, Jon Atli Benediktsson, Antonio Plaza

In this paper, an approach is proposed to fuse LiDAR and hyperspectral data, which considers both spectral and spatial information in a single framework.

Attribute General Classification +1