CASIA OpenIR

浏览/检索结果: 共18条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载:461/152  |  提交时间:2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics 期刊论文
eLife, 2018, 卷号: 2018, 期号: 7, 页码: e36173
作者:  Song Ming;  Yi Yang;  Jianghong He;  Zhengyi Yang;  Shan Yu;  Qiuyou Xie;  Xiaoyu Xia;  Yuanyuan Dang;  Qiang Zhang;  Xinhuai Wu;  Yue Cui;  Bing Hou;  Ronghao Yu;  Ruxiang Xu;  Tianzi Jiang
浏览  |  Adobe PDF(7400Kb)  |  收藏  |  浏览/下载:514/90  |  提交时间:2018/10/11
Disorders Of Consciousness  Prognosis  Resting State Fmri  Functional Connectivity  Brain Network  
Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder 期刊论文
FRONTIERS IN PSYCHIATRY, 2018, 卷号: 9, 期号: 1, 页码: 11
作者:  Zhi, Dongmei;  Calhoun, Vince D.;  Lv, Luxian;  Ma, Xiaohong;  Ke, Qing;  Fu, Zening;  Du, Yuhui;  Yang, Yongfeng;  Yang, Xiao;  Pan, Miao;  Qi, Shile;  Jiang, Rongtao;  Yu, Qingbao;  Sui, Jing
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载:368/16  |  提交时间:2018/10/10
Major Depressive Disorder  Independent Component Analysis  Dynamic Functional Network Connectivity  Graph Theory  Resting-state Functional Magnetic Resonance Imaging  
Inter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study 期刊论文
TRANSLATIONAL PSYCHIATRY, 2017, 卷号: 7, 期号: 12, 页码: 1270
作者:  Wade, Benjamin S. C.;  Sui, Jing;  Hellemann, Gerhard;  Leaver, Amber M.;  Espinoza, Randall T.;  Woods, Roger P.;  Abbott, Christopher C.;  Joshi, Shantanu H.;  Narr, Katherine L.
浏览  |  Adobe PDF(783Kb)  |  收藏  |  浏览/下载:449/88  |  提交时间:2018/01/08
.  
Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 2, 页码: 307-320
作者:  Zeng, Yi;  Zhao, Yuxuan;  Bai, Jun;  Xu, Bo
浏览  |  Adobe PDF(2959Kb)  |  收藏  |  浏览/下载:455/111  |  提交时间:2017/09/18
Robot Self-consciousness  Robot Bodily Self Model  Stdp Learning  Self-recognition  
MODELING FIXED ODDS BETTING FOR FUTURE EVENT PREDICTION 期刊论文
MIS QUARTERLY, 2017, 卷号: 41, 期号: 2, 页码: 645-+
作者:  Chen, Weiyun;  Li, Xin;  Zeng, Daniel
收藏  |  浏览/下载:274/0  |  提交时间:2017/07/18
Prediction Market  Fixed Odds Betting  Crowd Intelligence  Prospect Theory  Decision Support  
Parameter Identifiability in Statistical Machine Learning: A Review 期刊论文
NEURAL COMPUTATION, 2017, 卷号: 29, 期号: 5, 页码: 1151-1203
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载:363/114  |  提交时间:2017/07/18
Parameter Identifiability  Statistical Machine Learning  
Modeling Social Influence on Activity-Travel Behaviors Using Artificial Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 3, 页码: 1576-1581
作者:  Chen, Songhang;  Liu, Zhong;  Shen, Dayong
浏览  |  Adobe PDF(688Kb)  |  收藏  |  浏览/下载:521/167  |  提交时间:2016/10/15
Social Networks  Activity-travel Behaviors  Artificial Transportation Systems (Atss)  Social Interactions  Social Learning  
Top–down visual attention integrated particle filter for robust object tracking 期刊论文
Signal Processing: Image Communication, 2016, 卷号: 43, 期号: 无, 页码: 28-41
作者:  Li, Wanyi;  Wang, Peng;  Qiao, Hong
浏览  |  Adobe PDF(9813Kb)  |  收藏  |  浏览/下载:416/110  |  提交时间:2016/10/13
Object Tracking  Visual Attention  Saliency  Particle Filter  Abrupt Motion  Occlusion  
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 10, 页码: 2335-2347
作者:  Qiao, Hong;  Li, Yinlin;  Li, Fengfu;  Xi, Xuanyang;  Wu, Wei
浏览  |  Adobe PDF(2781Kb)  |  收藏  |  浏览/下载:497/168  |  提交时间:2016/06/21
Biologically Inspired  Hierarchical Model  Key Components Learning  Semantic Description