TL;DR通过使用JLSPCADL方法,利用Johnson-Lindenstrauss引理选择转换空间的维度,并使用Modified Supervised PC Analysis与JL确定的维度的投影转换矩阵,建立一个具有更好分类性能的优化特征空间和字典原子的适当畸变水平和相应的适当描述长度。
Abstract
To overcome difficulties in classifying large dimensionality data with a large number of classes, we propose a novel approach called jlspcadl. This paper uses the Johnson-Lindenstrauss (JL) Lemma to select the di