机译:基于核Fisher判别分析和回归学习的无监督特征选择
Xidian Univ, Key Lab Intelligent Percept & Image Understanding, Minist Educ China, Xian 710071, Shaanxi, Peoples R China;
Xidian Univ, Key Lab Intelligent Percept & Image Understanding, Minist Educ China, Xian 710071, Shaanxi, Peoples R China;
Xidian Univ, Key Lab Intelligent Percept & Image Understanding, Minist Educ China, Xian 710071, Shaanxi, Peoples R China;
Xidian Univ, Key Lab Intelligent Percept & Image Understanding, Minist Educ China, Xian 710071, Shaanxi, Peoples R China;
Univ Birmingham, Extreme Robot Lab, Birmingham, W Midlands, England;
Univ Birmingham, Extreme Robot Lab, Birmingham, W Midlands, England;
Kernel fisher discriminant analysis; Manifold learning; Regression learning; Sparse constraint; Feature selection;
机译:基于混合核特征选择和核Fisher判别分析的行星齿轮箱故障水平诊断
机译:核Fisher判别分析与核二次规划特征选择的等价性
机译:递归特征消除方法在Fisher Fisher判别分析中选择变量
机译:使用基于核的局部Fisher判别分析进行特征选择以进行高光谱图像分类
机译:具有多核学习的尺度空间特征选择及其在油砂图像分析中的应用。
机译:使用基于核的判别回归的监督学习模型揭示了不同时间范围内的个体步态模式
机译:关于核Fisher判别分析与核二次规划特征选择的等价性