Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/62919
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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Shen, C. | - |
dc.contributor.author | Hao, Z. | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | IEEE CVPR 2011 Conference Colorado Springs: Computer Vision and Pattern Recognition (CVPR) 2011, June 21-23, 2011, pp. 2585-2592 | - |
dc.identifier.isbn | 9781457703942 | - |
dc.identifier.issn | 1063-6919 | - |
dc.identifier.uri | http://hdl.handle.net/2440/62919 | - |
dc.description.abstract | Boosting combines a set of moderately accurate weak classifiers to form a highly accurate predictor. Compared with binary boosting classification, multi-class boosting received less attention. We propose a novel multi-class boosting formulation here. Unlike most previous multi-class boosting algorithms which decompose a multi-boost problem into multiple independent binary boosting problems, we formulate a direct optimization method for training multi-class boosting. Moreover, by explicitly deriving the Lagrange dual of the formulated primal optimization problem, we design totally-corrective boosting using the column generation technique in convex optimization. At each iteration, all weak classifiers’ weights are updated. Our experiments on various data sets demonstrate that our direct multi-class boosting achieves competitive test accuracy compared with state-of-the-art multi-class boosting in the literature. | - |
dc.description.statementofresponsibility | Chunhua Shen and Zhihui Hao | - |
dc.description.uri | http://cvpr2011.org/index.html | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.ispartofseries | IEEE Conference on Computer Vision and Pattern Recognition | - |
dc.rights | © 2011 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/cvpr.2011.5995554 | - |
dc.subject | Boosting, multi-class classification | - |
dc.title | A direct formulation for totally-corrective multi-class boosting | - |
dc.type | Conference paper | - |
dc.contributor.conference | IEEE Conference on Computer Vision and Pattern Recognition (24th : 2011 : Colorado Springs, CO, U.S.A.) | - |
dc.identifier.doi | 10.1109/CVPR.2011.5995554 | - |
dc.publisher.place | USA | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Shen, C. [0000-0002-8648-8718] | - |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_62919.pdf | Accepted version | 1.65 MB | Adobe PDF | View/Open |
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