...解； 局部特征提取； 人脸识别； 增量学习 [gap=1008]Key words：nonnegative matrix factorization; local feature extraction; face recognition; incremental learning ...
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In the view of feature signal extraction, the local wave time-frequency analysis and information entropy were used to deal with fault diagnosis.
从特征信号提取的角度出发，采用局域波时频分析和信息熵结合的方法进行往复式压缩机故障诊断。
Non-negative matrix factorization has non-negative and local characteristics, and it is a new feature extraction method.
非负矩阵分解具有非负性和局部性的特点，是一种新型的特征提取方法。
A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.
介绍了一种利用局部沃尔什变换(LWT)提取图像纹理特征的新方法，给出lwt的定义，并分析了LWT系数的统计特性及其各阶矩的纹理鉴别性能。
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