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Robust and Efficient Regularized Boosting Using Total Bregman Divergence

Boosting is a well known machine learning technique used to improve the performance of weak learners and has been successfully applied to computer vision, medical image analysis, computational biology and other fields. A critical step in boosting algorithms involves update of the data sample distrib...

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Detalhes bibliográficos
Main Authors: Liu, Meizhu, Vemuri, Baba C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3860759/
https://ncbi.nlm.nih.gov/pubmed/24348005
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2011.5995686
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