机译:基于稀疏表示的增强加权多项式Logistic极限学习机,具有加权复合特征,用于高光谱图像的光谱空间分类
School of Information Engineering, Guangdong University of Technology, Guangzhou, China;
School of Information Engineering, Guangdong University of Technology, Guangzhou, China;
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K.;
School of Information Engineering, Guangdong University of Technology, Guangzhou, China;
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China;
School of Computer Science and Technology, Tianjin University, Tianjin, China;
Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland;
Training; Feature extraction; Logistics; Kernel; Mathematical model; Laplace equations; Optimization;
机译:使用近似稀疏多项逻辑回归的超光图像的光谱空间分类
机译:局部块多层稀疏极限学习机用于高光谱图像的有效特征提取和分类
机译:FMRSS Net:基于快速矩阵表示的光谱空间特征学习卷积神经网络用于高光谱图像分类
机译:基于局部判别嵌入核极限学习机的高光谱图像光谱空间分类
机译:用于多项式分类的学习稀疏功能和功能组
机译:用于高光谱图像光谱空间分类的线性与非线性极限学习机
机译:基于稀疏表示的增广多项Logistic极值 具有加权复合特征的光谱空间学习机 高光谱图像分类