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Deep Learning with Hierarchical Convolutional Factor Analysis

Unsupervised multi-layered (“deep”) models are considered for general data, with a particular focus on imagery. The model is represented using a hierarchical convolutional factor-analysis construction, with sparse factor loadings and scores. The computation of layer-dependent model parameters is imp...

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Detalhes bibliográficos
Main Authors: Chen, Bo, Polatkan, Gungor, Sapiro, Guillermo, Blei, David, Dunson, David, Carin, Lawrence
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3683114/
https://ncbi.nlm.nih.gov/pubmed/23787342
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2013.19
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