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A Bayesian generative model for learning semantic hierarchies
Building fine-grained visual recognition systems that are capable of recognizing tens of thousands of categories, has received much attention in recent years. The well known semantic hierarchical structure of categories and concepts, has been shown to provide a key prior which allows for optimal pre...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4033064/ https://ncbi.nlm.nih.gov/pubmed/24904452 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2014.00417 |
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