中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共108条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Traffic Signal Timing via Deep Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2016, 期号: 3, 页码: 247-254
作者:  Li Li;  Lv YS(吕宜生);  Fei-Yue Wang
Adobe PDF(509Kb)  |  收藏  |  浏览/下载：84/41  |  提交时间：2022/04/08
Traffic control , reinforcement learning , deep learning , deep reinforcement learning  
Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification 期刊论文
NEUROCOMPUTING, 2016, 卷号: 174, 期号: 2016, 页码: 806-814
作者:  Wang, Peng;  Xu, Bo;  Xu, Jiaming;  Tian, Guanhua;  Liu, Cheng-Lin;  Hao, Hongwei
浏览  |  Adobe PDF(1127Kb)  |  收藏  |  浏览/下载：381/120  |  提交时间：2020/10/27
Short Text  Classification  Clustering  Convolutional Neural Network  Semantic Units  Word Embeddings  
Emotional head motion predicting from prosodic and linguistic features 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 卷号: 75, 期号: 9, 页码: 5125-5146
作者:  Yang, Minghao;  Jiang, Jinlin;  Tao, Jianhua;  Mu, Kaihui;  Li, Hao
Adobe PDF(804Kb)  |  收藏  |  浏览/下载：92/10  |  提交时间：2020/10/27
Visual Prosody  Head Gesture  Prosody Clustering  
ACP-based Social Computing and Parallel Intelligence: Societies 5.0 and Beyond 期刊论文
CAAI Transactions on Intelligence Technology, 2016, 卷号: 1, 期号: 4, 页码: 377-393
作者:  Xiao Wang;  Lingxi Li;  Yong Yuan;  Peijun Ye;  Fei-Yue Wang
浏览  |  Adobe PDF(4488Kb)  |  收藏  |  浏览/下载：373/78  |  提交时间：2018/10/09
Social Computing  Societies 5.0  Parallel Intelligence  Knowledge Automation  Cyberphysical-social System  Artificial Societies  Computational Experiments  Parallel Execution.  
Distributed image understanding with semantic dictionary and semantic expansion 期刊论文
Neurocomputing, 2016, 期号: 174, 页码: 384-392
作者:  Liang Li;  Chenggang Clarence Yan;  Xing Chen;  Zhang Chunjie(张淳杰);  Jian Yin;  Baochen Jiang;  Qingming Huang;  Zhang CJ(张淳杰)
Adobe PDF(1004Kb)  |  收藏  |  浏览/下载：299/81  |  提交时间：2018/02/02
Image Understanding  Semantic Dictionary  Multi-task Learning  Semantic Expansion  Distributed Systems  
Structure learning for weighted networks based on Bayesian nonparametric models 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2016, 卷号: 7, 期号: 3, 页码: 479-489
作者:  Jiang XJ(蒋晓娟);  Zhang WS(张文生);  zhang wensheng
浏览  |  Adobe PDF(1060Kb)  |  收藏  |  浏览/下载：558/118  |  提交时间：2018/01/15
Structure Learning  Clustering  Probabilistic Graph Models  Bayesian Nonparametric Models  Variational Inference  
Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures 期刊论文
IET Control Theory & Applications, 2016, 卷号: 10, 期号: 15, 页码: 1816-1823
作者:  Zhao B(赵博)
Adobe PDF(1674Kb)  |  收藏  |  浏览/下载：230/75  |  提交时间：2018/01/11
自适应动态规划  容错控制  
Discriminating Bipolar Disorder from Major Depression using 期刊论文
Journal of Signal Processing Systems, 2016, 期号: 2016, 页码: 1-13
作者:  Nanfeng Jie;  Elizabeth A. Osuch;  Maohu Zhu;  Michael Wammes;  Xiaoying Ma;  Tianzi Jiang;  Sui Jing(隋婧);  Vince D. Calhoun
Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：397/147  |  提交时间：2018/01/08
Feature Selection Svm-foba Bipolar Disorder Major Depression Disorder Functional Connectivity  
Multimodal classification of schizophrenia patients with MEG and fMRI data using static and dynamic connectivity measures 期刊论文
Frontiers in Neuroscience, 2016, 卷号: 10, 期号: 2016, 页码: 466
作者:  Mustafa S.Cetin;  JonM.Houck;  BarnalyRashid;  OktayAgacoglu;  Julia M.Stephen;  Sui Jing(隋婧);  Jose Canive;  AndyMayer;  CherylAine;  Juan R.Bustillo;  VinceD.Calhoun
Adobe PDF(4892Kb)  |  收藏  |  浏览/下载：614/234  |  提交时间：2018/01/08
Connectivity  Fmri  Meg  Schizophrenia  Static And Dynamic Functional Connectivity  Classification  
Multimodal fusion of brain imaging data: A key to finding the missing link (s) in complex mental illness 期刊论文
Biol Psychiatry Cogn Neurosci Neuroimaging., 2016, 卷号: 3, 期号: 1, 页码: 230-244
作者:  Vince D Calhoun;  Sui Jing(隋婧)
浏览  |  Adobe PDF(2991Kb)  |  收藏  |  浏览/下载：256/68  |  提交时间：2018/01/08
Data Fusion  Psychosis  Connectivity  Brain Function  Schizophrenia  Independent Component Analysis