CORDIS Project
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This project develops a functional framework for blind source separation in biomedical data fusion, utilizing tensor decompositions. It aims to extract complex biomedical signals from various data sources, enhancing applications like brain tumor analysis and seizure detection.
Summary: the quest for a general functional tensor framework for blind source separationOur overall objective is the development of a general functional framework for solving tensor based blind source separation (BSS) problems in biomedical data fusion, using tensor decompositions (TDs) as basic core.
We claim that TDs will allow the extraction of fairly complicated sources of biomedical activity from fairly complicated sets of uni- and multimodal data.
The power of the new techniques will be de…
KATHOLIEKE UNIVERSITEIT LEUVEN
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