Pca & flda ) , knowledge - based methods and neural - networks based methods , etc . in this thesis two novel classes of feature extraction methods are proposed , i . e . matrix - pattern - based and vector subpattern - based representation methods respectively 在本文中,我們在pca和flda方法的基礎上提出了兩類特征提取新方法,即基于矩陣模式和基于子向量的特征提取方法,并隨后用于模式的分類。