论文标题
手工制作的图案识别功能选择技术：调查
Handcrafted Feature Selection Techniques for Pattern Recognition: A Survey
论文作者
论文摘要
当执行模式识别时，分类器的准确性主要与输入特征向量的质量和代表性相关。特征选择是一个过程，可以正确表示信息并可能提高分类器的准确性。此过程负责找到最佳的功能，从而使我们能够确定A类模式所属的属性。功能选择方法可以归类为过滤器，包装器和嵌入。本文介绍了一些用于手工特征选择的过滤器和包装器方法的调查。还提供了一些关于数据结构，处理时间和很好地代表特征向量的讨论，以明确说明某些方法以执行特征选择的适当方式。因此，如果考虑其积极因素和负面因素，提出的特征选择方法可以准确有效，发现哪个最适合该问题的域可能是最艰巨的任务。
The accuracy of a classifier, when performing Pattern recognition, is mostly tied to the quality and representativeness of the input feature vector. Feature Selection is a process that allows for representing information properly and may increase the accuracy of a classifier. This process is responsible for finding the best possible features, thus allowing us to identify to which class a pattern belongs. Feature selection methods can be categorized as Filters, Wrappers, and Embed. This paper presents a survey on some Filters and Wrapper methods for handcrafted feature selection. Some discussions, with regard to the data structure, processing time, and ability to well represent a feature vector, are also provided in order to explicitly show how appropriate some methods are in order to perform feature selection. Therefore, the presented feature selection methods can be accurate and efficient if applied considering their positives and negatives, finding which one fits best the problem's domain may be the hardest task.
