@inproceedings{97acfd7164b84e78bc238cb8302330ca,
title = "Cascade jump support vector machine classifiers",
abstract = "In this paper we present a new support vector machine (SVM) based classifier that is able to achieve better generalization as compared to the standard SVM. Better generalization is achieved by using a cascade of modified proximal SVMs to remove simpler examples before presenting the difficult examples to a more complex SVM. The cascade structure uses the discrimination afforded by different feature spaces (by using different kernels) to simplify the classification task.",
author = "Sourabh Ravindran and Anderson, {David V.} and James Rehg",
year = "2005",
doi = "10.1109/MLSP.2005.1532888",
language = "English (US)",
isbn = "0780395174",
series = "2005 IEEE Workshop on Machine Learning for Signal Processing",
pages = "135--139",
booktitle = "2005 IEEE Workshop on Machine Learning for Signal Processing",
note = "2005 IEEE Workshop on Machine Learning for Signal Processing ; Conference date: 28-09-2005 Through 30-09-2005",
}