Hyper-Spectral Image Classification Using Adiabatic Quantum Computation
Author:
Affiliation:
1. Institute of Theoretical and Applied Informatics, PAS,Gliwice,Poland,44-100
2. CNES,Toulouse,France,31401
3. CS GROUP,Toulouse,France,31506
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282125.pdf?arnumber=10282125
Reference6 articles.
1. Quantum annealing in the transverse Ising model
2. Graph Partitioning using Quantum Annealing on the D-Wave System
3. Support vector machine classifiers as applied to AVIRIS data;gualtieri;Proc Eighth JPL Airborne Geoscience Workshop,1999
4. Multi-Spectral Image Classification with Quantum Neural Network
5. How ”quantum" is the D-Wave machine?;shin,2014
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