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A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 131, 页码: 11
作者:  Qian, Zhuang;  Huang, Kaizhu;  Wang, Qiu-Feng;  Zhang, Xu-Yao
收藏  |  浏览/下载：207/0  |  提交时间：2022/11/14
Adversarial examples  Adversarial training  Robust learning  
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 9
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong
收藏  |  浏览/下载：194/0  |  提交时间：2021/01/06
Catastrophic forgetting  State primitives  Robotics  Continual learning  
无权访问的条目 期刊论文
作者:  Xiong, Fangzhou;  Sun, Biao;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir;  Liu, Zhiyong
Adobe PDF(1059Kb)  |  收藏  |  浏览/下载：91/7  |  提交时间：2019/07/12
Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 期号: 50, 页码: 20-29
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
浏览  |  Adobe PDF(2952Kb)  |  收藏  |  浏览/下载：476/71  |  提交时间：2019/07/11
Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Stochastic Conjugate Gradient Algorithm With Variance Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
作者:  Jin, Xiao-Bo;  Zhang, Xu-Yao;  Huang, Kaizhu;  Geng, Guang-Gang
收藏  |  浏览/下载：311/0  |  提交时间：2019/07/11
Computational efficiency  covariance reduction  empirical risk minimization (ERM)  linear convergence  stochastic conjugate gradient (CG)  
A fast projected fixed-point algorithm for large graph matching 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 60, 页码: 971-982
作者:  Lu, Yao;  Huang, Kaizhu;  Liu, Cheng-Lin
收藏  |  浏览/下载：256/0  |  提交时间：2016/12/26
Graph Matching  Projected Fixed-point  Large Graph Algorithm  Feature Correspondence  Point Matching  
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：315/51  |  提交时间：2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Joint learning of error-correcting output codes and dichotomizers from data 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2012, 卷号: 21, 期号: 4, 页码: 715-724
作者:  Zhong, Guoqiang;  Huang, Kaizhu;  Liu, Cheng-Lin
收藏  |  浏览/下载：165/0  |  提交时间：2015/09/18
Error Correcting Output Codes (Ecoc)  Dichotomizer  Concave-convex Procedure (Cccp)  
Maxi-Min discriminant analysis via online learning 期刊论文
NEURAL NETWORKS, 2012, 卷号: 34, 页码: 56-64
作者:  Xu, Bo;  Huang, Kaizhu;  Liu, Cheng-Lin
Adobe PDF(889Kb)  |  收藏  |  浏览/下载：253/69  |  提交时间：2015/08/12
Linear Discriminant Analysis  Dimensionality Reduction  Multi-category Classification  Handwritten Chinese Character Recognition  
A multi-task framework for metric learning with common subspace 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 7-8, 页码: 1337-1347
作者:  Yang, Peipei;  Huang, Kaizhu;  Liu, Cheng-Lin
Adobe PDF(753Kb)  |  收藏  |  浏览/下载：223/43  |  提交时间：2015/08/12
Multi-task Learning  Metric Learning  Low Rank  Subspace