利用稀疏主分量分析实现目标识别中的特征提取，包括论文和仿真代码。-Informative Feature Selection for Object Recognition via Sparse PCA

t-test 和F-statistics在特征选择中的应用-t-test and F-statistics in feature selection

feature selection selecting any relevant

Such a performance step-change in improving conventional spatial feature based models is primarily due to the exploration of discriminative space-time features and the fragment selection based matching scheme by the proposed DVR model