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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...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2011
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| Aiheet: | |
| Linkit: | 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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