| 1. | A classifier design method based on sub - class division
基于子类划分的分类器设计方法 |
| 2. | To distinguish different sample , feature extraction directly influences the design and performance of the classifier
对于二维任意的两类特征样本进行分类,特征提取的好坏直接影响到分类器设计和性能。 |
| 3. | Then data sets provided by the bci competitions are analyzed , and features of erp and the applicability and ability of the methods are understood better
在参加第三届国际脑机接口竞赛的过程中,提出了t加权的特征提取方法和分类器设计的强化学习方法。 |
| 4. | Based on the single - layer perceptron model , a relation between sample size and error classifying for the design of fault classifier for the afr engine is given
摘要针对基于单层感知器模型的发动机故障进行分类器设计，研究了故障信号的学习样本容量和分类误判率之间的关系。 |
| 5. | A singal data format transform program , a de - noising , a character extraction and a neutral network classification programs are written to accompolish the tasks of different stages during the whole process
此外，还编制了从声信号数据格式转换到分类器设计的四个独立可单独运行的程序。 |
| 6. | When we design the classification , we combine the tree classification and the support vector machines in order to improve the ability of combining experiences and performance of generalization
在模式识别的分类器设计上，我们采用了树分类器和支持向量机相结合的方法，提高了分类器经验结合的能力和泛化能力。 |
| 7. | Earlier research on face recognition was mainly based on traditional methods , such as the extraction of facial features and template matching , eigenfaces and deformable templates have been utilized
本文深入探讨了人脸识别的理论，分析了特征提取和分类器设计的主要方法，请就各方法优缺点和适用范围给出了评价。 |
| 8. | In this paper , we first introduce the current research , methods and trend on face recognition . then we respectively discuss face image preprocessing , face feature extraction and the design of classifiers
本文首先介绍了国内外人脸识别的研究现状、方法和发展方向，然后分别讨论了人脸图像的预处理、人脸特征的抽取和分类器设计等内容。 |
| 9. | Classifier is an important ingredient in pattern recognition . among all the classifiers , linear classifiers are paid great attention in statistical pattern recognition due to their simplicity and easy expansibility to nonlinear classifiers
在模式识别系统中,分类器是一个重要的组成部分,分类器设计的好坏将直接影响模式识别系统最终的识别性能。 |
