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High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review 期刊论文
COMPUTATIONAL VISUAL MEDIA, 2022, 页码: 25
作者:  Li, Jianwei;  Gao, Wei;  Wu, Yihong;  Liu, Yangdong;  Shen, Yanfei
收藏  |  浏览/下载：172/0  |  提交时间：2022/06/06
3D reconstruction  image processing  camera pose estimation  surface fusion  
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1107-1118
作者:  Tao, Wei;  Wu, Gao-Wei;  Tao, Qing
收藏  |  浏览/下载：163/0  |  提交时间：2022/06/10
Heavy-ball (HB) methods  individual convergence  machine learning  momentum methods  nonsmooth optimization  sparsity  
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 7, 页码: 2557-2568
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：206/0  |  提交时间：2020/08/03
Convergence  Extrapolation  Optimization  Acceleration  Machine learning  Task analysis  Machine learning algorithms  Individual convergence  machine learning  Nesterov's extrapolation  nonsmooth optimization  sparsity  
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：184/0  |  提交时间：2020/03/30
Convergence  Convex functions  Machine learning  Optimization methods  Linear programming  Cybernetics  Individual convergence  machine learning  mirror descent (MD) methods  regularized learning problems  stochastic gradient descent (SGD)  stochastic optimization  
Stochastic Learning via Optimizing the Variational Inequalities 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 10;10, 页码: 1769-1778
作者:  Tao, Qing;  Gao, Qian-Kun;  Chu, De-Jun;  Wu, Gao-Wei
收藏  |  浏览/下载：28/0  |  提交时间：2020/10/27
Alternating Direction Method Of Multiplier (Admm)  Machine Learning  Online Learning  Optimization  Regret  Stochastic Learning  Variational Inequality (Vi)  
A general soft method for learning SVM classifiers with L-1-norm penalty 期刊论文
PATTERN RECOGNITION, 2008, 卷号: 41, 期号: 3, 页码: 939-948
作者:  Tao, Qing;  Wu, Gao-Wei;  Wang, Jue
收藏  |  浏览/下载：196/0  |  提交时间：2015/11/08
Support Vector Machines  Classification  Nu-svms  Nearest Points  Gilbert's Algorithms  Schlesinger-kozinec's Algorithms  Mitchell-dem'yanov-malozemov's Algorithms  Soft Convex Hulls  
Multisource data registration based on NURBS description of contours 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 卷号: 29, 期号: 2, 页码: 569-591
作者:  Pan, C.;  Zhang, Z.;  Yan, H.;  Wu, G.;  Ma, S.
收藏  |  浏览/下载：211/0  |  提交时间：2015/11/08
Learning linear PCA with convex semi-definite programming 期刊论文
PATTERN RECOGNITION, 2007, 卷号: 40, 期号: 10, 页码: 2633-2640
作者:  Tao, Qing;  Wu, Gao-wei;  Wang, Jue
收藏  |  浏览/下载：184/0  |  提交时间：2015/11/08
Principal Component Analysis  Statistical Learning Theory  Support Vector Machines  Margin  Maximal Margin Algorithm  Semi-definite Programming  Robustness  
One-class strategies for security information detection 期刊论文
INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS, 2006, 卷号: 3917, 页码: 171-172
作者:  Tao, Q;  Wu, GW;  Wang, J;  Chen, H;  Wang, FY;  Yang, CC;  Zeng, D;  Chau, M;  Chang, K
收藏  |  浏览/下载：178/0  |  提交时间：2015/11/06
A new maximum margin algorithm for one-class problems and its boosting implementation 期刊论文
PATTERN RECOGNITION, 2005, 卷号: 38, 期号: 7, 页码: 1071-1077
作者:  Tao, Q;  Wu, GW;  Wang, J
收藏  |  浏览/下载：111/0  |  提交时间：2015/11/06
One-class Problems  Outliers  Statistical Learning Theory  Support Vector Machines  Margin  Boosting