Exploring coupled images fusion based on joint tensor decomposition
Exploring coupled images fusion based on joint tensor decomposition
About this item
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Data fusion has always been a hot research topic in human-centric computing and extended with the development of artificial intelligence. Generally, the coupled data fusion algorithm usually utilizes the information from one data set to improve the estimation accuracy and explain related latent variables of other coupled datasets. This paper propos...
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Full title
Exploring coupled images fusion based on joint tensor decomposition
Authors, Artists and Contributors
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Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_03142186v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_03142186v1
Other Identifiers
ISSN
2192-1962
E-ISSN
2192-1962
DOI
10.1186/s13673-020-00215-z
