Probabilistic Latent Variable Models as Nonnegative Factorizations
نویسندگان
چکیده
منابع مشابه
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 invariances, higher-order decompositions and sparsity constraints. We argue through these extensions th...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2008
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2008/947438