机译:通过递归回归监督维度减少方法
Univ Texas Arlington Dept Comp Sci & Engn Arlington TX 76019 USA;
Chinese Acad Sci Ctr OPT IMagery Anal & Learning OPTIMAL Xian Inst Opt & Precis Mech State Key Lab Transient Opt & Photon Xian 710119 Peoples R China;
Northwestern Polytech Univ Sch Comp Sci Xian 710072 Peoples R China|Northwestern Polytech Univ Ctr OPT IMagery Anal & Learning OPTIMAL Xian 710072 Peoples R China;
Northwestern Polytech Univ Sch Comp Sci Xian 710072 Peoples R China|Northwestern Polytech Univ Ctr OPT IMagery Anal & Learning OPTIMAL Xian 710072 Peoples R China;
Univ Texas Arlington Dept Comp Sci & Engn Arlington TX 76019 USA;
Dimensionality reduction; Linear discriminant analysis; Eigenvalues and eigenfunctions; Learning systems; Computer science; Optical imaging; Optics; Optimal scaling (OS); orthogonal least squares regression (OLSR); orthogonal linear discriminant analysis (OLDA); recursive regression; supervised dimensionality reduction;
机译:低级回归分析无监督,监督和半监督的维度减少
机译:学习在图上传播标签:用于半监督的高光谱降维的迭代多任务回归框架
机译:Hessian能量的半监督回归及其在半监督降维中的应用
机译:非参数贝叶斯模型,用于监督维数减少和回归。
机译:监督和半监督多标签学习的降维和分类耦合
机译:使用Hessian能量的半监督回归及其在半监督降维中的应用
机译:二维递归数字滤波器的研究及脆性材料失效预测的改进统计和无损检测方法研究。