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Knowledge Commons of Institute of Automation,CAS
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State Primitive Learning to Overcome Catastrophic Forgetting in Robotics
期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 9
Authors:
Xiong, Fangzhou
;
Liu, Zhiyong
;
Huang, Kaizhu
;
Yang, Xu
;
Qiao, Hong
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View/Download:2/0
  |  
Submit date:2021/01/06
Catastrophic forgetting
State primitives
Robotics
Continual learning
Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning
期刊论文
Neural Networks, 2020, 期号: 2020.06.003, 页码: 12
Authors:
Xiong, Fangzhou
;
Liu, Zhiyong
;
Huang, Kaizhu
;
Yang, Xu
;
Qiao, Hong
;
Amir Hussain
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  |  
Adobe PDF(646Kb)
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View/Download:46/1
  |  
Submit date:2020/06/09
Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics
Cross-modality interactive attention network for multispectral pedestrian detection
期刊论文
INFORMATION FUSION, 2019, 期号: 50, 页码: 20-29
Authors:
Zhang, Lu
;
Liu, Zhiyong
;
Zhang, Shifeng
;
Yang, Xu
;
Qiao, Hong
;
Huang, Kaizhu
;
Hussain, Amir
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View/Download:84/4
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Submit date: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
Authors:
Jin, Xiao-Bo
;
Zhang, Xu-Yao
;
Huang, Kaizhu
;
Geng, Guang-Gang
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View/Download:41/0
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Submit date:2019/07/11
Computational efficiency
covariance reduction
empirical risk minimization (ERM)
linear convergence
stochastic conjugate gradient (CG)
Guided Policy Search for Sequential Multitask Learning
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 1, 页码: 216-226
Authors:
Xiong, Fangzhou
;
Sun, Biao
;
Yang, Xu
;
Qiao, Hong
;
Huang, Kaizhu
;
Hussain, Amir
;
Liu, Zhiyong
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Submit date:2019/07/12
Elastic weight consolidation (EWC)
guided policy search (GPS)
reinforcement learning (RL)
sequential multitask learning
Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation
会议论文
, China National Convention Center (CNCC), Beijing, November 8-11, 2019
Authors:
Xiong,, Fangzhou
;
Liu, Zhiyong
;
Huang, Kaizhu
;
Yang, Xu
;
Amir Hussain
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Adobe PDF(277Kb)
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View/Download:47/9
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Submit date:2020/04/26
A fast projected fixed-point algorithm for large graph matching
期刊论文
PATTERN RECOGNITION, 2016, 卷号: 60, 页码: 971-982
Authors:
Lu, Yao
;
Huang, Kaizhu
;
Liu, Cheng-Lin
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View/Download:116/0
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Submit date:2016/12/26
Graph Matching
Projected Fixed-point
Large Graph Algorithm
Feature Correspondence
Point Matching
DE2: Dynamic ensemble of ensembles for learning nonstationary data
期刊论文
NEUROCOMPUTING, 2015, 卷号: 165, 页码: 14-22
Authors:
Yin, Xu-Cheng
;
Huang, Kaizhu
;
Hao, Hong-Wei
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View/Download:1/0
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Submit date:2020/10/27
Ensemble Of Ensembles
Growing Ensemble
Sparsity Learning
Nonstationary Environment
Concept Drift
Incremental Learning
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
Authors:
Zhang, Yan-Ming
;
Huang, Kaizhu
;
Geng, Guang-Gang
;
Liu, Cheng-Lin
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View/Download:148/25
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Submit date:2015/10/13
Graph-based Method
Large-scale Manifold Learning
Semisupervised Learning (Ssl)
Transductive Learning (Tl)
Learning Locality Preserving Graph from Data
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART-B, 2014, 卷号: 44, 期号: 11, 页码: 2088-2098
Authors:
Zhang, Yan-Ming
;
Huang, Kaizhu
;
Hou, Xinwen
;
Liu, Cheng-Lin
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Adobe PDF(9074Kb)
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View/Download:133/22
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Submit date:2015/08/12