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Instance-aware Image and Sentence Matching with Selective Multimodal LSTM 会议论文
, USA, 2017.7.20
作者:  Huang Yan(黄岩);  Wang We(王威);  Wang Liang(王亮)
浏览  |  Adobe PDF(1692Kb)  |  收藏  |  浏览/下载：418/184  |  提交时间：2017/06/19
Interval Type-2 TSK Nominal-fuzzy-model-based Sliding Mode Controller Design for Flexible Airbreathing Hypersonic Vehicles 会议论文
, Naples, Italy, July 9-12
作者:  Gao, Junlong;  Yi, Jianqiang;  Pu, Zhiqiang;  Li, Chengdong
浏览  |  Adobe PDF(457Kb)  |  收藏  |  浏览/下载：460/157  |  提交时间：2017/05/09
Type-2 Fuzzy Logic System  Hypersonic Vehicle  Nominal Model  Model-based Control  Sliding Mode  Data-driven  
Diverse Neuron Type Selection for Convolutional Neural Networks 会议论文
, Australia, August 19-25, 2017
作者:  Guibo Zhu;  Zhaoxiang Zhang;  Xu-Yao Zhang;  Cheng-Lin Liu
浏览  |  Adobe PDF(259Kb)  |  收藏  |  浏览/下载：264/91  |  提交时间：2018/02/06
Fixed-point Factorized Networks 会议论文
, Hawaii,USA, 2017.7.21-7.26
作者:  Wang, Peisong;  Cheng, Jian
浏览  |  Adobe PDF(279Kb)  |  收藏  |  浏览/下载：412/180  |  提交时间：2018/01/07
Convolutional Neural Networks  Ternary Quantization  Network Acceleration  Network Compression  
Master general parking skill via deep learning 会议论文
IEEE Intelligent Vehicles Symposium, Proceedings, Los Angeles, CA, USA, 2017
作者:  Yiun Lin;  Li Li;  Xingyuan Dai;  Zheng Nanning;  Wang Fei-Yue
浏览  |  Adobe PDF(826Kb)  |  收藏  |  浏览/下载：281/84  |  提交时间：2018/01/08
智能汽车  轨迹规划  
Optimal Control for Discrete-Time Nonlinear Systems with Actuator Saturation Based on Generalized Policy Iteration Adaptive Dynamic Programming Algorithm 会议论文
, Sapporo, Hokkaido, Japan, 2017-6-21
作者:  Lin Q(林桥);  Qinglai Wei;  Bo Zhao
浏览  |  Adobe PDF(149Kb)  |  收藏  |  浏览/下载：326/127  |  提交时间：2017/05/04
Robust person head detection based on multi-scale representation fusion of deep convolution neural network 会议论文
, 澳门, 2017.12.5-2017.12.8
作者:  Wang Yingying;  Yin Yingjie;  Wu Wenqi;  Sun Siyang;  Wang Xingang
浏览  |  Adobe PDF(673Kb)  |  收藏  |  浏览/下载：346/95  |  提交时间：2018/01/04
Person Head Detection  Deep Convolution Neural Network  Multi-scale Representations  Multi-task Learning