A Hierarchical Probabilistic Model for Rapid Object Categorization in Natural Scenes

Hdl Handle:
http://hdl.handle.net/10675.2/741
Title:
A Hierarchical Probabilistic Model for Rapid Object Categorization in Natural Scenes
Authors:
He, Xiaofu; Yang, Zhiyong; Tsien, Joe Z.
Abstract:
Humans can categorize objects in complex natural scenes within 100â 150 ms. This amazing ability of rapid categorization has motivated many computational models. Most of these models require extensive training to obtain a decision boundary in a very high dimensional (e.g., â ¼6,000 in a leading model) feature space and often categorize objects in natural scenes by categorizing the context that co-occurs with objects when objects do not occupy large portions of the scenes. It is thus unclear how humans achieve rapid scene categorization.
Citation:
PLoS One. 2011 May 25; 6(5):e20002
Issue Date:
25-May-2011
URI:
http://hdl.handle.net/10675.2/741
DOI:
10.1371/journal.pone.0020002
PubMed ID:
21647443
PubMed Central ID:
PMC3102072
Type:
Article
ISSN:
1932-6203
Appears in Collections:
Brain & Behavior Discovery Institute: Faculty Research and Presentations

Full metadata record

DC FieldValue Language
dc.contributor.authorHe, Xiaofuen_US
dc.contributor.authorYang, Zhiyongen_US
dc.contributor.authorTsien, Joe Z.en_US
dc.date.accessioned2012-10-26T20:27:54Z-
dc.date.available2012-10-26T20:27:54Z-
dc.date.issued2011-05-25en_US
dc.identifier.citationPLoS One. 2011 May 25; 6(5):e20002en_US
dc.identifier.issn1932-6203en_US
dc.identifier.pmid21647443en_US
dc.identifier.doi10.1371/journal.pone.0020002en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/741-
dc.description.abstractHumans can categorize objects in complex natural scenes within 100â 150 ms. This amazing ability of rapid categorization has motivated many computational models. Most of these models require extensive training to obtain a decision boundary in a very high dimensional (e.g., â ¼6,000 in a leading model) feature space and often categorize objects in natural scenes by categorizing the context that co-occurs with objects when objects do not occupy large portions of the scenes. It is thus unclear how humans achieve rapid scene categorization.en_US
dc.rightsHe et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.subjectResearch Articleen_US
dc.subjectBiologyen_US
dc.subjectComputational Biologyen_US
dc.subjectComputational Neuroscienceen_US
dc.subjectCoding Mechanismsen_US
dc.subjectNeuroscienceen_US
dc.subjectComputational Neuroscienceen_US
dc.subjectCoding Mechanismsen_US
dc.titleA Hierarchical Probabilistic Model for Rapid Object Categorization in Natural Scenesen_US
dc.typeArticleen_US
dc.identifier.pmcidPMC3102072en_US
dc.contributor.corporatenameBrain & Behavior Discovery Institute-
dc.contributor.corporatenameDepartment of Ophthalmology-
dc.contributor.corporatenameDepartment of Neurology-

Related articles on PubMed

All Items in Scholarly Commons are protected by copyright, with all rights reserved, unless otherwise indicated.