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Value of big data to finance: observations on an internet credit Service Company in China 期刊论文
Financial Innovation, 2015, 卷号: 1, 期号: 1
作者:  Zhang,Shaofeng;  Xiong,Wei;  Ni,Wancheng;  Li,Xin
Adobe PDF(1086Kb)  |  收藏  |  浏览/下载：265/62  |  提交时间：2019/07/11
Big data  Credit rating  Information economics  Value of information  Finance  
Image classification using boosted local features with random orientation and location selection 期刊论文
Information Sciences, 2015, 期号: 310, 页码: 118-129
作者:  Zhang CJ(张淳杰);  Cheng J(程健);  Zhang YF(张一帆);  Liu J(刘静);  Liang C(梁超);  Pang JB(庞俊彪);  Huang QM(黄庆明);  Tian Q(田奇)
Adobe PDF(1849Kb)  |  收藏  |  浏览/下载：347/87  |  提交时间：2017/09/19
Sparse Coding  Image Classification  Random Orientation  Boosting  Local Feature Selection  
Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions 期刊论文
IET Computer Vision, 2015, 卷号: 5, 期号: 9, 页码: 663-672
作者:  Lu Yanfeng(吕彦锋);  Kang Taekoo;  Zhang Huazhen;  Lim Myotaeg
浏览  |  Adobe PDF(1858Kb)  |  收藏  |  浏览/下载：259/109  |  提交时间：2017/09/14
Hierarchical Model  Object Recognition  Keypoint-based Patch Selection  Hmax  
Two-Stage Multi-Target Joint Learning for Monaural Speech Separation 会议论文
Annual Conference of the International Speech Communication Association (INTERSPEECH), Dresden Germany, 2015
作者:  Shuai, Nie;  Shan, Liang;  Wei, Xue;  XueLiang, Zhang;  WenJu, Liu;  Like Dong;  Hong Yang
浏览  |  Adobe PDF(185Kb)  |  收藏  |  浏览/下载：322/91  |  提交时间：2016/04/12
Speech Separation  Multi-target Learning  Computational Auditory Scene Analysis (Casa)  
Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 684-696
作者:  Luo, Biao;  Wu, Huai-Ning;  Li, Han-Xiong
浏览  |  Adobe PDF(2465Kb)  |  收藏  |  浏览/下载：358/115  |  提交时间：2016/03/30
Adaptive Optimal Control  Empirical Eigenfunction (Eef)  Highly Dissipative Partial Differential Equations (Pdes)  Neuro-dynamic Programming (Ndp)  Spatially Distributed Processes (Sdps)  
Cross-Modal Subspace Learning via Pairwise Constraints 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5543-5556
作者:  Ran He(赫然);  Man Zhang;  Liang Wang;  Ye Ji;  Qiyue Yin;  Ji, Ye
浏览  |  Adobe PDF(2205Kb)  |  收藏  |  浏览/下载：445/121  |  提交时间：2016/01/18
Multi Modal  Pairwise Constraint  Subspace Clustering  
The neurobiological drive for overeating implicated in Prader-Willi syndrome 期刊论文
BRAIN RESEARCH, 2015, 卷号: 1620, 期号: 2015, 页码: 72-80
作者:  Zhang, Yi;  Wang, Jing;  Zhang, Guansheng;  Zhu, Qiang;  Cai, Weiwei;  Tian, Jie;  Zhang, Yi Edi;  Miller, Jennifer L.;  Wen, Xiaotong;  Ding, Mingzhou;  Gold, Mark S.;  Liu, Yijun
Adobe PDF(1895Kb)  |  收藏  |  浏览/下载：338/84  |  提交时间：2015/10/26
Pws  Overeating  Obesity  Granger Causality  Resting-state Fmri  
Robust Structured Subspace Learning for Data Representation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015, 卷号: 37, 期号: 10, 页码: 2085-2098
作者:  Li, Zechao;  Liu, Jing;  Tang, Jinhui;  Lu, Hanqing
浏览  |  Adobe PDF(525Kb)  |  收藏  |  浏览/下载：978/420  |  提交时间：2015/10/13
Data Representation  Latent Subspace  Image Understanding  Feature Learning  Structure Preserving  
MTC: A Fast and Robust Graph-Based Transductive Learning Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
作者:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guang-Gang;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3026Kb)  |  收藏  |  浏览/下载：319/52  |  提交时间：2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
BP-AR-BASED HUMAN JOINT ANGLE ESTIMATION USING MULTI-CHANNEL SEMG 期刊论文
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2015, 卷号: 30, 期号: 3, 页码: 227-237
作者:  Tong, Lina;  Zhang, Feng;  Hou, Zeng-Guang;  Wang, Weiqun;  Peng, Liang
浏览  |  Adobe PDF(1650Kb)  |  收藏  |  浏览/下载：447/114  |  提交时间：2015/10/13
Semg-joint Angle Estimation  Rehabilitation  Moving Butterworth Filtering Method  Bp Neural Network  Autoregressive (Ar) Model