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Online reinforcement learning for continuous-state systems 专著章节/文集论文
出自: Frontiers of Intelligent Control and Information Processing, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, 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Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载:263/28  |  提交时间:2017/09/13
Research on Abandoned and Removed Objects Detection Based on Embedded System 会议论文
2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), Qingdao, China, October 8-11, 2014
作者:  Bin Hu;  Yiyue Li;  Zizhang Chen;  Gang Xiong;  Fenghua Zhu;  Hu, Bin
浏览  |  Adobe PDF(315Kb)  |  收藏  |  浏览/下载:249/54  |  提交时间:2016/11/09
Objects Detection  
User-centric Social Multimedia Computing 专著
Berlin Heidelberg:Springer, 2014
作者:  Sang, Jitao
Adobe PDF(5480Kb)  |  收藏  |  浏览/下载:427/96  |  提交时间:2016/03/30
DOA ESTIMATION OF SPEECH SOURCE IN NOISY ENVIRONMENTS WITH WEIGHTED SPATIAL BISPECTRUM CORRELATION MATRIX 会议论文
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 2014
作者:  Xue, Wei;  Liang, Shan;  Liu, Wenju
浏览  |  Adobe PDF(171Kb)  |  收藏  |  浏览/下载:302/77  |  提交时间:2015/08/19
Direction Of Arrival Estimation  Microphone Array Signal Processing  Bispectrum  
DEEP STACKING NETWORKS WITH TIME SERIES FOR SPEECH SEPARATION 会议论文
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, 2014
作者:  Nie, Shuai;  Zhang, Hui;  Zhang, XueLiang;  Liu, WenJu
浏览  |  Adobe PDF(241Kb)  |  收藏  |  浏览/下载:373/111  |  提交时间:2015/08/19
Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 2, 页码: 597-606
作者:  Tian, Bin;  Li, Ye;  Li, Bo;  Wen, Ding;  Bin Tian
浏览  |  Adobe PDF(1776Kb)  |  收藏  |  浏览/下载:403/162  |  提交时间:2015/08/12
Kalman Filter (Kf)  Markov Random Field (Mrf)  Part-based Object Detection  Tracking  Vehicle Detection  
Learning Human Actions by Combining Global Dynamics and Local Appearance 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2014, 卷号: 36, 期号: 12, 页码: 2466-2482
作者:  Luo, Guan;  Yang, Shuang;  Tian, Guodong;  Yuan, Chunfeng;  Hu, Weiming;  Maybank, Stephen J.;  weiming hu
浏览  |  Adobe PDF(1426Kb)  |  收藏  |  浏览/下载:374/79  |  提交时间:2015/08/12
Action Recognition  Linear Dynamical System  Local Spatio-temporal Feature  Non-vector Descriptor  Distance Learning  
The analysis of the simplification from the ideal ratio to binary mask in signal-to-noise ratio sense 期刊论文
SPEECH COMMUNICATION, 2014, 卷号: 59, 页码: 22-30
作者:  Liang, Shan;  Liu, WenJu;  Jiang, Wei;  Xue, Wei
浏览  |  Adobe PDF(909Kb)  |  收藏  |  浏览/下载:300/120  |  提交时间:2015/08/12
Ideal Binary Mask  Ideal Ratio Mask  W-disjoint Orthogonality  
Determining structural identifiability of parameter learning machines 期刊论文
NEUROCOMPUTING, 2014, 卷号: 127, 期号: 1, 页码: 88-97
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(515Kb)  |  收藏  |  浏览/下载:331/82  |  提交时间:2015/08/12
Identifiability  Parameter Learning Machine  Exhaustive Summary  Kullback-leibler Divergence  Parameter Redundancy