机译:交通标志识别方法集成多层功能和内核极端学习机分类器
School of Information and Control Nanjing University of Information Science & Technology Nanjing 210044 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing 210044 China;
School of Information and Control Nanjing University of Information Science & Technology Nanjing 210044 China;
School of Computer and Software Nanjing University of Information Science & Technology Nanjing 210044 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing 210044 China;
Department of Civil and Environmental Engineering Rensselaer Polytechnic Institute New York 12180 USA;
Traffic sign recognition; multi-layer features; multi-scale pooling; kernel extreme learning machine;
机译:关于“使用具有深度感知功能的内核极限学习机进行交通信号识别的评论”
机译:回复“关于“使用具有深层感知功能的内核极限学习机识别交通标志”的评论”
机译:交通标志识别使用内核极端学习机具有深入感知功能
机译:基于极限学习机的交通标志识别新方法
机译:使用机器学习算法进行交通标志识别的嵌入式系统设计。
机译:缩回:医学数据集分类:结合粒子群优化与极限学习机分类器的机器学习范例
机译:缩回:医疗数据集分类:通过极端学习机分类器整合粒子群优化的机器学习范式