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Probabilistic Latent Variable Models as Nonnegative Factorizations
This paper presents a family of probabilistic latent variable models that can be used for analysis of nonnegative data. We show that there are strong ties between nonnegative matrix factorization and this family, and provide some straightforward extensions which can help in dealing with shift invari...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Hindawi Publishing Corporation
2008
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2391276/ https://ncbi.nlm.nih.gov/pubmed/18509481 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2008/947438 |
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