Introduction to Statistical Pattern Recognition
Introduction to Statistical Pattern Recognition
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DOI：
10.1002/0470854774.ch1
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
P. Pudil;P. Somol;M. Haindl
中科院分区：
文献类型：
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作者：
P. Pudil;P. Somol;M. Haindl
注：模式识别问题被简单地描述为机器学习的过程。阐述了其主要阶段（降维和分类器设计）。统计方法在这里得到优先考虑。两种方法来降低维数，即特征选择（FS）和特征提取（FE）的规定。虽然FS是FE的一个特例，但从实际的角度来看，它们有很大的不同，因此必须单独考虑。
Annotation : Pattern recognition problem is briefly characterized as a process of machine learning. Its main stages (dimensionality reduction and classifier design) are stated. Statistical approach is given priority here. Two approaches to dimensionality reduction, namely feature selection (FS) and feature extraction (FE) are specified. Though FS is a special case of FE, they are very different from a practical viewpoint and thus must be considered separately.