Загрузка...
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...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2014
|
| Предметы: | |
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|