Multi-layer boosting for pattern recognition


We extend the standard boosting procedure to train a two-layer classifier dedicated to handwritten character recognition. The scheme we propose relies on a hidden layer which extracts feature vectors on a fixed number of points of interest, and an output layer which combines those feature vectors and the point of interest locations into a final… (More)
DOI: 10.1016/j.patrec.2008.09.012


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@article{Fleuret2009MultilayerBF, title={Multi-layer boosting for pattern recognition}, author={François Fleuret}, journal={Pattern Recognition Letters}, year={2009}, volume={30}, pages={237-241} }