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Searching for Category-Consistent Features: A Computational Approach to Understanding Visual Category Representation

This article introduces a generative model of category representation that uses computer vision methods to extract category-consistent features (CCFs) directly from images of category exemplars. The model was trained on 4,800 images of common objects, and CCFs were obtained for 68 categories spannin...

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書目詳細資料
發表在:Psychol Sci
Main Authors: Yu, Chen-Ping, Maxfield, Justin T., Zelinsky, Gregory J.
格式: Artigo
語言:Inglês
出版: SAGE Publications 2016
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4899225/
https://ncbi.nlm.nih.gov/pubmed/27142461
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0956797616640237
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