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Sparsity-Regularized HMAX for Visual Recognition
About ten years ago, HMAX was proposed as a simple and biologically feasible model for object recognition, based on how the visual cortex processes information. However, the model does not encompass sparse firing, which is a hallmark of neurons at all stages of the visual pathway. The current paper...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3879257/ https://ncbi.nlm.nih.gov/pubmed/24392078 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0081813 |
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