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Visual categorization: When categories fall to pieces

Lookup NU author(s): Dr Quoc Vuong

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Abstract

We cannot help but categorize the visual world into objects like cats and faces. An intriguing new study shows that observers automatically discover informative fragments of visual objects during category learning.

Publication metadata

Author(s): Vuong QC

Publication type: Article

Publication status: Published

Journal: Current Biology

Year: 2008

Volume: 18

Issue: 10

Pages: R427-R429

ISSN (print): 0960-9822

ISSN (electronic): 1879-0445

Publisher: Cell Press

URL: http://dx.doi.org/10.1016/j.cub.2008.03.036

DOI: 10.1016/j.cub.2008.03.036

Notes: Dispatch on: Hegdé, J., Bart, E., & Kersten, D. (2008). Fragment-based learning of visual object categories, Current Biology, 18(8), 597-601.

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