Using relative von Neumann and Shannon entropies for feature fusion

DOI10.1080/00207721.2019.1648703zbMath1484.94013OpenAlexW2964484165MaRDI QIDQ5026869

Aihong Chen, Huifang Deng, Weimin Peng, Jing Chen

Publication date: 8 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2019.1648703

zbMATH Keywords

feature fusionduplicate detectionrelative Shannon entropyquantum inspired methodrelative von Neumann entropy

Mathematics Subject Classification ID

Signal detection and filtering (aspects of stochastic processes) (60G35) Sampled-data control/observation systems (93C57) Measures of information, entropy (94A17) Quantum information, communication, networks (quantum-theoretic aspects) (81P45)

Uses Software

• UCI-ml

Cites Work

• Feature fusion based on Wootters metric
• The role of relative entropy in quantum information theory
• Bayesian Data Fusion for Distributed Target Detection in Sensor Networks
• Adaptive Data Fusion for Wireless Localization in Harsh Environments

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