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Enhanced HMAX model with feedforward feature learning for multiclass categorization
In recent years, the interdisciplinary research between neuroscience and computer vision has promoted the development in both fields. Many biologically inspired visual models are proposed, and among them, the Hierarchical Max-pooling model (HMAX) is a feedforward model mimicking the structures and f...
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| Pubblicato in: | Front Comput Neurosci |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4595662/ https://ncbi.nlm.nih.gov/pubmed/26500532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2015.00123 |
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