369 citations · 810 across the 61 of their papers we have counts for
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cs.LG2010
Totally Corrective Multiclass Boosting with Binary Weak Learners
Zhihui Hao, Chunhua Shen, Nick Barnes +1
In this work, we propose a new optimization framework for multiclass boosting learning. In the literature, AdaBoost.MO and AdaBoost.ECC are the two successful multiclass boosting a…
cs.CV2010★ 1 cited
Asymmetric Totally-corrective Boosting for Real-time Object Detection
Peng Wang, Chunhua Shen, Nick Barnes +2
Real-time object detection is one of the core problems in computer vision. The cascade boosting framework proposed by Viola and Jones has become the standard for this problem. In t…
cs.AI2010★ 3 cited
Totally Corrective Boosting for Regularized Risk Minimization
Chunhua Shen, Hanxi Li, Nick Barnes
Consideration of the primal and dual problems together leads to important new insights into the characteristics of boosting algorithms. In this work, we propose a general framework…