College of Mathematics and Statistics, Shenzhen University, Shenzhen 518160, People's Republic of China ,Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen 518160, People's Republic of China;
College of Mathematics and Statistics, Shenzhen University, Shenzhen 518160, People's Republic of China;
College of Mathematics and Statistics, Shenzhen University, Shenzhen 518160, People's Republic of China ,Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen 518160, People's Republic of China;
College of Information Engineering, Shenzhen University, Shenzhen 518160, People's Republic of China;
Non-negative matrix factorization (NMF); Non-negative feature extraction; Kernel method; Face recognition;
机译:基于内核函数的线性约束凸优化的内部点算法及非负矩阵分解的应用
机译:基于非负矩阵分解的内核框架用于网络重构和链路预测
机译:基于小波核非负矩阵分解的人脸识别
机译:基于内核的非负矩阵分解方法,具有一般内核函数
机译:非负矩阵要素的研究:基础,方法,算法和应用
机译:一种基于核目标对准的检测药物侧效应关联的新型三矩阵分子分解方法
机译:采用稀疏核非负矩阵因子的特征提取用于滚动元件轴承诊断