Rejection methods for an adaptive committee classifier
Rejection methods for an adaptive committee classifier
复制标题
自适应委员会分类器的拒绝方法
DOI：
10.1109/icdar.2001.953932
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
J. Kangas
中科院分区：
文献类型：
--
作者：
M. Aksela;Jorma T. Laaksonen;E. Oja;J. Kangas
自适应是提高分类精度的有效方法，委员会结构通常可以提高其成员的绩效。因此，一个适应性的委员会结构是一个诱人的方法。拒绝可以用于手写识别，以提高性能，通过引导有问题的字符，以一个特殊的分类器，处理这样的困难cases或丢弃it.The实验在本文中比较了几个根本不同的方法来实现拒绝自适应委员会分类。一个动态扩展上下文（DEC）为基础的委员会用于评估这些方法。结果表明，如果被拒绝的类处理50%的错误率，性能得到改善。一个方案，其中有一个可调的阈值，基于距离的拒绝是一个有效的方法，在这种设置中实现拒绝。
Adaptation is an effective method for improving classification accuracy and a committee structure can in general improve on its members' performance. Therefore an adaptive committee structure is a tempting approach. Rejection may be used in handwriting recognition to improve performance through either directing the problematic character to a special classifier that handles such hard cases or discarding it. The experiments in this paper compare several fundamentally different approaches to implementing rejection in an adaptive committee classifier. A dynamically expanding context (DEC) - based committee is used for evaluating these approaches. The results show that if the rejected classes are handled with a 50% error rate, the performance is improved. A scheme in which there is an adjustable threshold for distance-based rejection is an effective method for implementing rejection in this setting.