We often use high-dimension feature vectors to achieve this goal, however, the large amount computation will make exhaustive retrieval infeasible.
三维模型的特征一般用高维的特征向量表示，但是这会带来更多的计算量，从而使耗尽型搜索变得不可行。
Realizes high, dimension data feature extraction algorithm by using debasing dimension of data.
实现了基于数据降维的高维数据特征提取算法。
Reducing the high dimension of feature vectors is an essential part of text categorization.
对高维的特征集进行降维是文本分类过程中的一个重要环节。
Feature space is high dimensional and sparse in text categorization, the process of dimension reduction is a very key problem for large-scale text categorization.
文本分类中特征向量空间是高维和稀疏的，降维处理是分类的关键步骤。
Float vector based image feature has high dimension and usually makes use of Euclidean distance as its similarity definition.
浮点矢量图像特征维数较高，且通常以欧氏距离作为矢量之间的相似度定义。
The research contents include high dimension feature vectors index, semantic video classification, relevance feedback, similarity measure of video clips and video content representation.
本文研究内容涉及特征索引方法、视频语义分类方法、相关反馈方法、视频片段的相似度量以及视觉内容特征的表示等问题。
The transformation of kernel function is used to solve the overlapped mixed gas feature absorption spectrum in high dimension space.
算法采用核函数变换的方式，将重叠严重和非线性的光谱数据进行高维空间变换后再计算各组分气体浓度。
We proposed a paper sheet defects classification method based on SVM according to its good performance in small data sets and high dimension feature Spaces.
根据支持向量机(SVM)在小样本、高维模式分类中具有的优良分类性能，提出将支持向量机应用于实际的纸张缺陷分类。
We proposed a paper sheet defects classification method based on SVM according to its good performance in small data sets and high dimension feature Spaces.
根据支持向量机(SVM)在小样本、高维模式分类中具有的优良分类性能，提出将支持向量机应用于实际的纸张缺陷分类。
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