机译:用于特征较少的人脸识别的多线性主成分分析
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
The School of Computing and Information Science, Florida International University, Miami, FL 33174, USA;
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
multilinear principal component analysis; nearest neighbor classifier; support vector machine; face recognition;
机译:不相关的多线性主成分分析加上线性判别分析:有效的特征提取阿尔茨海默病的结构磁共振成像数据
机译:一些主要成分分析的多线性变体:灰度图像识别和重建中的例子
机译:基于多线性主成分分析的多维皮层表示中的噪声鲁棒语音特征提取方法
机译:基于SAR目标特征提取与识别的多线性主成分分析
机译:使用增量主成分和独立成分分析(IPCA-ICA)方法设计人脸识别系统。
机译:基于结构相互作用指纹图谱和多线性主成分分析的吉非替尼/厄洛替尼对NSCLC EGFR突变的敏感性预测
机译:主成分分析 - 人工神经网络人脸识别系统中选择最高主成分和隐神经元数的增强经验方法