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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Detalles Bibliográficos
Autores principales: Shashanka, Madhusudana, Raj, Bhiksha, Smaragdis, Paris
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2391276/
https://www.ncbi.nlm.nih.gov/pubmed/18509481
http://dx.doi.org/10.1155/2008/947438

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2391276/
https://www.ncbi.nlm.nih.gov/pubmed/18509481
http://dx.doi.org/10.1155/2008/947438

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