A direct formulation for totally-corrective multi-class boosting

  title={A direct formulation for totally-corrective multi-class boosting},
  author={Chunhua Shen and Zhihui Hao},
  journal={CVPR 2011},
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… CONTINUE READING
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