Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA;
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA;
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA;
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA;
Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA;
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA;
Synapses; Indexing; Computational modeling; Hardware; Memory management; Generators;
机译:尖峰神经元分层关联网络中的稀疏和密集编码
机译:利用稀疏性加速在移动SOC上的基于CNN的基于CNN的应用层的完全连接层
机译:高速IC大规模电磁分析的时域分层有限元还原恢复法(LAFE-RR)中线性复杂度的恢复算法
机译:循环稀疏连接层对O(n 2 sup>)至O(nlogn)的致密层的复杂性降低
机译:可伸缩高效视频编码中的层间帧间预测的复杂度降低。
机译:通过部分层冻结致密连接的卷积神经网络具有用于诊断Covid-19免受胸部X射线诊断的特征融合
机译:spiking中分层联想网络中的稀疏和密集编码 神经元