机译:联合稀疏矩阵学习用于多类别分类的人脸识别
Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Center, Shenzhen 518000, China;
Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Center, Shenzhen 518000, China,Guangdong Polytechnic Normal University, Industrial Training Center, Guangzhou 510000, China;
Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen 518000, China;
Harbin Institute of Technology, College of Computer Science, Harbin 150000, China;
Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Center, Shenzhen 518000, China;
face recognition; l_(2,1)-norm minimization; multiclass classification;
机译:用于高光谱图像分类的多类特征学习:稀疏和分层解决方案
机译:基于稀疏距离的学习,可同时进行宏分类数据的多类分类和特征选择
机译:基于稀疏距离的学习,可同时进行多类分类和宏选择数据的特征选择
机译:稀疏多类分类的特征选择和人脸识别
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机译:鲁棒的稀疏表示和多类支持矩阵机用于运动图像脑电信号的分类
机译:通过平滑组L 1/2规范器使用稀疏极限学习机的回归和多款分类