近年来提出了许多监督和非监督模式识别技术用于磁共振图象的组织分类和定量分析。
A number of supervised and unsupervised pattern recognition techniques have been proposed in recent years for the tissue segmentation and quantitative analysis of magnetic resonance images.
聚类分析作为一种重要的非监督模式识别工具，可用于多种领域，如数据挖掘、生物学、计算机视觉、文档分析等。
As an important unsupervised pattern recognition tool clustering analysis has been used in diverse fields such as data mining, biology, computer vision, document analysis.
研究了有监督学习支持向量网络的的模式识别；
Pattern recognition of support vector network with supervising learning is studied in this paper.
原始的非线性维数约减算法是无监督的，不能直接用于模式识别。
The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
提出一种模式识别方法，它能有效地用于有监督的连续语音识别、文稿理解和数据文件分析。
This paper raised a method of pattern recognition, it can be used to the continuous speech recognition with reference, text understanding and data file analysis.
提出一种模式识别方法，它能有效地用于有监督的连续语音识别、文稿理解和数据文件分析。
This paper raised a method of pattern recognition, it can be used to the continuous speech recognition with reference, text understanding and data file analysis.
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