This paper employs feature selection theory and pattern aggregation theory to reduce feature space dimension.

应用特征选取和模式聚合理论以降低特征空间维数。

youdao

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。

youdao

First, based on the idea of "dimension" from psychology, an orthogonal common emotion space is constructed. Then, sensitive features are extracted from images to construct the feature space.

同时，抽取图像中较容易引起情感变化的特征作为图像的视觉特征，建立图像的特征空间；

youdao