机译:深度学习分类网络的图像特征性能评估
College of Medicine and Biological Information Engineering Northeastern University Shenyang China;
College of Medicine and Biological Information Engineering Northeastern University Shenyang China;
College of Medicine and Biological Information Engineering Northeastern University Shenyang China;
Medical Device Innovation Center Shenzhen Technology University Shenzhen China;
Medical Device Innovation Center Shenzhen Technology University Shenzhen China;
College of Computer Science and Software Engineering Shenzhen University Shenzhen China;
College of Medicine and Biological Information Engineering Northeastern University Shenyang China;
Convolution; Deep learning; Kernel; Turning; Neural networks; Mathematical model; Licenses;
机译:深度学习网络中图像视觉特征的情感分类传输学习技术
机译:主动转移学习网络:用于高光谱图像分类的统一的深度联合光谱空间特征学习模型
机译:来自VHR光学遥感图像的土地覆盖分类通过功能集合深度学习网络
机译:基于子空间的特征提取和卷积神经网络相结合的新型深度学习框架
机译:深度学习和局部特征融合用于医学图像分类
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:RGB-D图像/视频分类深度特征学习的性能评估