Feature value extraction is key technology in text processing, outstanding feature value could really embody the attribute of the text.

特征值提取是文本处理中的关键技术，优秀的特征值才能真正反映出文本的属性。

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Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.

传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。

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The algebraic feature extraction of images and the authors' research work on singular value vectors as a kind of algebraic features of images are emphasized.

重点介绍了图像的代数特征抽取以及作者关于奇异值特征矢量作为图像的一种代数特征方面的研究工作。

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