Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing

Author:

Pasetto Edoardo1,Delilbasic Amer1,Cavallaro Gabriele1,Willsch Madita1,Melgani Farid2,Riedel Morris1,Michielsen Kristel1

Affiliation:

1. Jülich Supercomputing Centre, Forschungszentrum Jülich,Germany

2. University of Trento,Department of Information Engineering and Computer Science,Italy

Funder

Federal Ministry of Education and Research

Publisher

IEEE

Reference14 articles.

1. Quantum machine learning in high energy physics

2. Support vector regression machines;drucker;NIPS,1996

3. SeaBAM evaluation data set;o'reilly;Proc SeaWiFS Bio-Opt Algorithm Mini Workshop (SeaBAM),0

4. Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters From Remote Sensing Data

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1. Quantum-Assisted Machine Learning by Means of Adiabatic Quantum Computing;2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS);2024-04-15

2. Investigating the Characteristics of Ising Machines;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17

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