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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：443/146  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders 期刊论文
BRAIN STRUCTURE & FUNCTION, 2017, 卷号: 222, 期号: 9, 页码: 4051-4064
作者:  He, Hao;  Sui, Jing;  Du, Yuhui;  Yu, Qingbao;  Lin, Dongdong;  Drevets, Wayne C.;  Savitz, Jonathan B.;  Yang, Jian;  Victor, Teresa A.;  Calhoun, Vince D.;  Sui Jing(隋婧);  Vince D. Calhoun
浏览  |  Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：450/118  |  提交时间：2018/01/08
Bipolar Disorders  Major Depressive Disorder  Functional Network Connectivity  Gray Matter Density  Multimodal Fusion  Mcca Plus Jica  
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：428/81  |  提交时间：2018/01/08
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Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples 期刊论文
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2017, 卷号: 20, 期号: 4, 页码: 16
作者:  Ye, Peijun;  Hu, Xiaolin;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(1326Kb)  |  收藏  |  浏览/下载：482/162  |  提交时间：2018/01/05
Population Synthesis  Sample-free  Iterative Proportional Fitting  
Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：328/51  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
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：342/105  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning  
Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children 期刊论文
MOLECULAR NEUROBIOLOGY, 2018, 卷号: 55, 期号: 4, 页码: 3251-3269
作者:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang, Shengpei;  Chen, Zhiqiang;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang;  He HG(何晖光)
浏览  |  Adobe PDF(6672Kb)  |  收藏  |  浏览/下载：637/194  |  提交时间：2017/06/06
Tourette Syndrome  Children  Functional Connectivity  Graph Theory  Topological Organization  Similarity Network Fusion  
Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 63, 期号: *, 页码: 601-611
作者:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang Shengpei;  Chen, Zhiqiang;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang
浏览  |  Adobe PDF(1101Kb)  |  收藏  |  浏览/下载：640/183  |  提交时间：2017/02/14
Tourette Syndrome  Dti  Tbss  Svm  Mkl  
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：388/97  |  提交时间：2016/10/13
Object Tracking  Visual Attention  Saliency  Particle Filter  Abrupt Motion  Occlusion  
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：388/86  |  提交时间：2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization