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ICA and IVA for Data Fusion: An Overview and a New Approach Based on Disjoint Subspaces
Data-driven methods have been very attractive for fusion of both multiset and multimodal data, in particular using matrix factorizations based on independent component analysis (ICA) and its extension to multiple datasets, independent vector analysis (IVA). This is primarily due to the fact that ind...
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| Yayımlandı: | IEEE Sens Lett |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6831094/ https://ncbi.nlm.nih.gov/pubmed/31692997 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/LSENS.2018.2884775 |
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