On the Importance of Accurate Weak Classifier Learning for Boosted weak Classifiers
Recent work , has shown that improving model learning for weak classifiers can yield significant gains in the overall accuracy of a boosted classifier. However, most published classifier boosting research relies only on rudimentary learning techniques
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|Source:||Proceedings of IEEE Intelligent Vehicles Symposium 2008|
|01_Overett_On_the_Importance_of_Accurate_2008.pdf||397.09 kB||Adobe PDF||Request a copy|
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