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Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 1, 页码: 281-292
Authors:  Tang FZ(唐凤珍);  Fan ML(范孟灵);  Tino, Peter
Adobe PDF(1359Kb)  |  Favorite  |  View/Download:131/9  |  Submit date:2021/01/24
Generalized learning vector quantization (GLVQ)  learning vector quantization (LVQ)  Riemannian geodesic distances  Riemannian manifold  
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices 期刊论文
Neural Networks, 2021, 卷号: 142, 页码: 105-118
Authors:  Tang FZ(唐凤珍);  Feng HF(冯海峰);  Tino, Peter;  Si BL(斯白露);  Ji DX(冀大雄)
Adobe PDF(786Kb)  |  Favorite  |  View/Download:92/1  |  Submit date:2021/05/25
Probabilistic learning vector quantization  Learning vector quantization  Symmetric positive definite matrices  Riemannian geodesic distances  Riemannian manifold  
Quantum-enhanced reinforcement learning for control: a preliminary study 期刊论文
Control Theory and Technology, 2021, 页码: 1-10
Authors:  Hu YZ(胡亚洲);  Tang FZ(唐凤珍);  Chen, Jun;  Wang WX(王文学)
Adobe PDF(1707Kb)  |  Favorite  |  View/Download:21/2  |  Submit date:2021/12/20
Quantum theory  Reinforcement learning  Quantum computation  State superposition  Optimal control  
基于自适应编码的脉冲神经网络 期刊论文
计算机应用研究, 2021, 页码: 1-6
Authors:  张驰;  唐凤珍
Adobe PDF(903Kb)  |  Favorite  |  View/Download:32/1  |  Submit date:2021/09/09
脉冲神经网络  自适应编码  替代梯度反向传播  LIF神经元模型  
基于对数欧氏度量学习的概率黎曼空间量化方法 期刊论文
计算机应用研究, 2021, 页码: 1-9
Authors:  张晓铖;  唐凤珍
Adobe PDF(1103Kb)  |  Favorite  |  View/Download:14/1  |  Submit date:2021/12/20
对称正定矩阵  学习矢量量化  对数欧氏度量  黎曼几何  流形结构  
A novel oversampling technique based on the manifold distance for class imbalance learning 期刊论文
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2021, 卷号: 18, 期号: 3, 页码: 131-142
Authors:  Guo YN(郭一楠);  Jiao BT(焦博韬);  Yang LK(杨凌凯);  Cheng J(程健);  Yang SX(杨圣祥);  Tang FZ(唐凤珍)
Adobe PDF(1447Kb)  |  Favorite  |  View/Download:18/0  |  Submit date:2021/12/20
class imbalance learning  oversampling  manifold learning  overlapping  small disjunction  
Feature selection with kernelized multi-class support vector machine 期刊论文
Pattern Recognition, 2021, 卷号: 117, 页码: 1-13
Authors:  Guo YN(郭一楠);  Zhang ZR(张子睿);  Tang FZ(唐凤珍)
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Feature selection  Multi-class support vector machine  Kernel machine  Recursive feature elimination  
NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation 期刊论文
Neural Networks, 2020, 卷号: 126, 页码: 21-35
Authors:  Zeng TP(曾太平);  Tang FZ(唐凤珍);  Ji DX(冀大雄);  Si BL(斯白露)
Adobe PDF(3641Kb)  |  Favorite  |  View/Download:201/38  |  Submit date:2020/03/22
Bayesian  Multisensory integration  Attractor dynamics  Head direction cells  Grid cells  Monocular SLAM  
Scan registration for underwater mechanical scanning imaging sonar using symmetrical Kullback-Leibler divergence 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 1, 页码: 1-11
Authors:  Jiang M(蒋敏);  Song SM(宋三明);  Li YP(李一平);  Tang FZ(唐凤珍);  Liu J(刘健);  Feng XS(封锡盛)
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underwater robots  mechanical scanning imaging sonar  scan registration  symmetrical Kullback-Leibler divergence  
Learning joint space–time–frequency features for EEG decoding on small labeled data 期刊论文
Neural Networks, 2019, 卷号: 114, 页码: 67-77
Authors:  Zhao DY(赵冬晔);  Tang FZ(唐凤珍);  Si BL(斯白露);  Feng XS(封锡盛)
Adobe PDF(797Kb)  |  Favorite  |  View/Download:358/62  |  Submit date:2019/04/13
Brain-computer interfaces  Convolutional neural network  Joint space–time–frequency feature learning  Subject-to-subject weight transfer  Small labeled data