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Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics
Gaussian scale mixture models offer a top-down description of signal generation that captures key bottom-up statistical characteristics of filter responses to images. However, the pattern of dependence among the filters for this class of models is prespecified. We propose a novel extension to the ga...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2006
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2915771/ https://ncbi.nlm.nih.gov/pubmed/16999575 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/neco.2006.18.11.2680 |
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