机译:基于深度卷积特征的极限学习分类器的土地利用分类
School of Economics and Management, Fuzhou University, Fuzhou, China;
Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou, China;
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China;
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China;
Feature extraction; Training; Remote sensing; Support vector machines; Computer architecture; Neural networks; Neurons;
机译:基于级联深度卷积神经网络的受限极限学习分类器的土地利用分类
机译:基于判别式混合卷积神经网络的集成极端学习机分类器进行空中场景分类
机译:基于鉴别的混合卷积神经网络特征的集合极端学习机分类器的空中场景分类
机译:婴儿哭泣分类优化机器学习分类的基于深度卷积神经网络的特征提取
机译:基于图像的特征学习和分类的卷积神经网络体系结构研究。
机译:基于深度卷积神经网络的电机图像脑电图的空间频率特征学习与分类
机译:基于级联深度卷积神经网络的受限极限学习分类器的土地利用分类