CASIA OpenIR

浏览/检索结果: 共12条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
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:451/79  |  提交时间:2018/10/11
Disorders Of Consciousness  Prognosis  Resting State Fmri  Functional Connectivity  Brain Network  
Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 2, 页码: 332-351
作者:  Sun, Yunlian;  Zhang, Man;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(2995Kb)  |  收藏  |  浏览/下载:818/296  |  提交时间:2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
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:300/46  |  提交时间:2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
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:437/146  |  提交时间:2016/06/21
Biologically Inspired  Hierarchical Model  Key Components Learning  Semantic Description  
Connectivity Profiles Reveal a Transition Subarea in the Parahippocampal Region That Integrates the Anterior Temporal-Posterior Medial Systems 期刊论文
JOURNAL OF NEUROSCIENCE, 2016, 卷号: 36, 期号: 9, 页码: 2782-2795
作者:  Zhuo, Junjie;  Fan, Lingzhong;  Liu, Yong;  Zhang, Yuanchao;  Yu, Chunshui;  Jiang, Tianzi;  Jiang Tianzi
浏览  |  Adobe PDF(4725Kb)  |  收藏  |  浏览/下载:353/75  |  提交时间:2016/06/14
Brain Connectivity  Parahippocampal Region  
Horror Image Recognition Based on Context-Aware Multi-Instance Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5193-5205
作者:  Li, Bing;  Xiong, Weihua;  Wu, Ou;  Hu, Weiming;  Maybank, Stephen;  Yan, Shuicheng;  Bing Li
浏览  |  Adobe PDF(906Kb)  |  收藏  |  浏览/下载:735/299  |  提交时间:2015/11/12
Horror Image Recognition  Context-aware Multi-instance Learning  Visual Saliency  
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:353/77  |  提交时间:2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization  
Neural Trade-Offs between Recognizing and Categorizing Own- and Other-Race Faces 期刊论文
CEREBRAL CORTEX, 2015, 卷号: 25, 期号: 8, 页码: 2191-2203
作者:  Liu, Jiangang;  Wang, Zhe;  Feng, Lu;  Li, Jun;  Tian, Jie;  Lee, Kang
Adobe PDF(877Kb)  |  收藏  |  浏览/下载:416/86  |  提交时间:2015/09/23
Cross-face Processing  Dynamic Causal Modeling  Fmri  Neural Trade-off  Other-race Effect  
Analyzing Positioning Strategies in Sponsored Search Auctions Under CTR-Based Quality Scoring 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 4, 页码: 688-701
作者:  Yuan, Yong;  Zeng, Daniel;  Zhao, Huimin;  Li, Linjing
浏览  |  Adobe PDF(1156Kb)  |  收藏  |  浏览/下载:360/111  |  提交时间:2015/09/21
Terms-click-through Rate (Ctr)  Optimal Control  Polarization  Quality Score (Qs)  Sponsored Search  
Measuring the Visual Complexities of Web Pages 期刊论文
ACM TRANSACTIONS ON THE WEB, 2013, 卷号: 7, 期号: 1, 页码: 33
作者:  Wu, Ou;  Hu, Weiming;  Shi, Lei;  Ou Wu
浏览  |  Adobe PDF(1054Kb)  |  收藏  |  浏览/下载:401/132  |  提交时间:2015/08/12
Algorithms  Performance  Visual Complexity (Viscom)  Quantification  Web Mining  Feature  Learning