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Large-scale image classification using ensembles of nested dichotomies
dc.contributor.author | Ramisa Ayats, Arnau |
dc.contributor.author | Torras, Carme |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.date.accessioned | 2014-07-11T13:02:44Z |
dc.date.available | 2014-07-11T13:02:44Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Ramisa, A.; Torras, C. Large-scale image classification using ensembles of nested dichotomies. A: Congrés Internacional de l’Associació Catalana d’Intel·ligència Artificial. "Artificial intelligence research and development: proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence". Vic: IOS Press, 2013, p. 87-90. |
dc.identifier.isbn | 978-1-61499-319-3 |
dc.identifier.uri | http://hdl.handle.net/2117/23484 |
dc.description.abstract | Many techniques to reduce the cost at test time in large-scale problems involve a hierarchical organization of classifiers, but are either too expensive to learn or degrade the classification performance. Conversely, in this work we show that using ensembles of randomized hierarchical decompositions of the original problem can both improve the accuracy and reduce the computational complexity at test time. The proposed method is evaluated in the ImageNet Large Scale Visual Recognition Challenge’10, with promising results. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | IOS Press |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject.lcsh | Computer vision |
dc.subject.other | computer vision image classification Author keywords: large-scale image classification |
dc.subject.other | classifier ensembles |
dc.subject.other | ensembles of nested dichotomies |
dc.title | Large-scale image classification using ensembles of nested dichotomies |
dc.type | Conference report |
dc.subject.lemac | Visió per ordinador |
dc.contributor.group | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
dc.identifier.doi | 10.3233/978-1-61499-320-9-87 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Pattern recognition::Computer vision |
dc.relation.publisherversion | http://http://dx.doi.org/10.3233/978-1-61499-320-9-87 |
dc.rights.access | Open Access |
local.identifier.drac | 12899986 |
dc.description.version | Postprint (author’s final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/269959/EU/Intelligent observation and execution of Actions and manipulations/INTELLACT |
local.citation.author | Ramisa, A.; Torras, C. |
local.citation.contributor | Congrés Internacional de l’Associació Catalana d’Intel·ligència Artificial |
local.citation.pubplace | Vic |
local.citation.publicationName | Artificial intelligence research and development: proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence |
local.citation.startingPage | 87 |
local.citation.endingPage | 90 |