机译:跨模态检索的联合特征选择和子空间学习
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China;
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China;
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China;
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China;
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China;
Terrorism; Meteorology; Buildings; Sun; Iterative methods; Correlation; Ice;
机译:跨模式检索的多类联合子空间学习
机译:联合潜在子空间学习和回归的跨模态检索
机译:将联合特征选择集成到子空间学习中:2DPCA用于异常值强大的特征选择
机译:联合图正则化的多模态子空间学习用于跨模态检索
机译:用于多任务学习的同时变量选择和同时子空间选择。
机译:从独立分量子空间中基于模糊的特征选择用于微阵列数据的机器学习分类
机译:基于纹理的细粒度图像的跨模态子空间学习 恢复