Deep learning with hierarchical convolutional factor analysis
Unsupervised multilayered (“deep”) models are considered for 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 implemented within a Bayesian setting, employ...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 35(2013), 8 vom: 19. Aug., Seite 1887-901
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| 1. Verfasser: |
Chen, Bo
(VerfasserIn) |
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| Weitere Verfasser: |
Polatkan, Gungor,
Sapiro, Guillermo,
Blei, David,
Dunson, David,
Carin, Lawrence |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2013
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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