This algorithm improves the recognition rate of pattern classification algorithms.
本算法提高了模式分类算法的辨识率。
When massive data is involved, traditional classification algorithms become inefficient.
在数据量很大时，原有的数据分类方法变得失效。
Most pattern classification algorithms rely heavily on the shape of the signal, which can vary considerably with frequency.
因为大多数模式分类算法与信号的形状密切相关，而信号的形状很大程度上随检测频率的变化而变化。
The algorithms of facial expression recognition system mainly contain images' preprocessing algorithms, feature extraction algorithms and classification algorithms.
人脸表情识别系统中的算法主要有图像处理算法、特征提取算法和分类算法。
Recently, for the study of Text Automatic classification technology, researchers mostly focus on the exploration and improvement of different classification algorithms.
目前，对于文本分类技术的研究，大多数研究者的精力主要放在各种不同分类方法的探索与改进上。
A method of visual data classifying is improved by integrating visual technology of parallel coordinates with data classification algorithms.
提出平行坐标数据可视化技术与分类算法集成到一起进行可视化数据分类的方法。
Secondly, the text studies the Statistical Learning Theory(STL) and Support Vector Machine(SVM)theory seriously, discusses multi-category classification algorithms of SVM.
其次，认真研究了统计学习理论的主要内容和SVM算法的基本原理，并且就SVM的多种多类别分类算法分别加以讨论。
In literature, there are very few discussions on the change of performance of source camera classification algorithms when test images are subjected to minor image processing.
现有文献中的源相机分类算法很少讨论测试图像在受到轻微图像处理后算法性能的变化。
However, classifying hyperspectral images only with traditional classification algorithms will result in low classification precision, data redundancy and great waste of resource.
但仅用传统分类算法对高光谱图像分类，会导致分类精度降低、空间数据冗余和资源的极大浪费。
However, performing classification quickly on multiple fields is known to be difficult, and the fast increase of packet arrival rate also put great pressure on the packet classification algorithms.
但是高速多维报文分类本身是一个公认的难以解决的问题，而且报文速率的快速增长给报文分类算法带来了巨大的压力。
This paper introduces a common distance algorithm based on vectorial space, and proposes novel distance and classification algorithms which orient the topic on the basis of concept-semanteme space.
本文介绍了基于向量空间的常用距离的算法，并在概念语义空间的基础上，提出一种面向主题的距离和分类的算法。
This paper introduces a common distance algorithm based on vectorial space, and proposes novel distance and classification algorithms which orient the topic on the basis of concept-semanteme space.
本文介绍了基于向量空间的常用距离的算法，并在概念语义空间的基础上，提出一种面向主题的距离和分类的算法。
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