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Kernel embedding transformation learning for graph matching Journal article
Pattern Recognition Letters, 2022,Volume: 163,Page: 136-144
Authors:  Yu, Yu Feng;  Chen, Long;  Huang, Ke Kun;  Zhu, Hu;  Xu, Guoxia
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/12/01
Correspondence  Deformation Variation  Graph Matching  Transformation Learning  
Reproducing kernel representation of the solution of second order linear three-point boundary value problem Journal article
Mathematical Methods in the Applied Sciences, 2022,Volume: 45,Issue: 17,Page: 11181-11205
Authors:  Bai, Hongfang;  Leong, Ieng Tak;  Dang, Pei
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/06/14
Numerical Solutions  Reproducing Kernel Hilbert Space  Three-point Boundary Value Problem  W-poafd  Weak Maximal Selection Principle  
Data Representation by Joint Hypergraph Embedding and Sparse Coding Journal article
IEEE Transactions on Knowledge and Data Engineering, 2022,Volume: 34,Issue: 5,Page: 2106-2119
Authors:  Zhong, Guo;  Pun, Chi Man
Favorite |  | TC[WOS]:4 TC[Scopus]:3 | Submit date：2022/05/13
Data Clustering  Data Representation  Hypergraph Learning  Kernel Trick  Matrix Factorization  
WEAK N-BEST POAFD FOR SOLVING PARABOLIC EQUATIONS IN REPRODUCING KERNEL HILBERT SPACE Journal article
Journal of Applied Analysis and Computation, 2022,Volume: 12,Issue: 4,Page: 1650-1671
Authors:  Bai, Hongfang
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/08/05
parabolic equation  reproducing kernel Hilbert space  weak N-best maximum selection principle  Weak N-best POAFD  
Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space Journal article
Artificial Intelligence Review, 2022,Volume: 55,Issue: 1,Page: 23-58
Authors:  Yang, Yongliang;  Zhu, Hufei;  Zhang, Qichao;  Zhao, Bo;  Li, Zhenning;  Wunsch, Donald C.
Favorite |  | TC[WOS]:5 TC[Scopus]:5 | Submit date：2022/02/21
Actor-critic Learning  Non-parametric Learning  Online Sparsification  Reproducing Kernel Hilbert Space  Value Function Approximation  
A Sparse Kernel Approximate Method for Fractional Boundary Value Problems Journal article
Communications on Applied Mathematics and Computation, 2022
Authors:  Bai, Hongfang;  Leong, Ieng Tak
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2023/01/30
Fractional boundary value problems (FBVPs)  Reproducing kernel Hilbert space (RKHS)  Weak maximal selection principle  Weak pre-orthogonal adaptive Fourier decomposition (W-POAFD)  
Reproducing Kernels of Some Weighted Bergman Spaces Journal article
Journal of Geometric Analysis, 2021,Volume: 31,Issue: 10,Page: 9527-9550
Authors:  Deng, Guan Tie;  Huang, Yun;  Qian, Tao
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date：2021/12/08
Reproducing Kernel  Reproducing Kernel Hilbert Space  Weighted Bergman Spaces  
Adaptive Rational Approximation in Bergman Space on Bounded Symmetric Domain Journal article
Journal of Mathematical Analysis and Applications, 2021,Page: 1-24
Authors:  Wu, H.T.;  Leong, I. T.;  Qian, T
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/08/30
Bergman Space  Bergman Kernel  Reproducing Kernel Hilbert Space  Pre-Orthogonal Adaptive Fourier Decomposition (POAFD)  Generalized Kernel Functions  Boundary Vanishing Property  Maximum Selection Principle  
Ultrarobust support vector registration Journal article
Applied Intelligence, 2021,Volume: 51,Issue: 6,Page: 3664-3683
Authors:  Yin, Lei;  Yu, Chong;  Wang, Yuyi;  Zou, Bin;  Tang, Yuan Yan
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/12/08
Coordinate Descent Method  Em Algorithm  Manifold Regularization  Point Set Registration  Weighted Sv Regression  
Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification Journal article
Communications in Statistics - Theory and Methods, 2019,Volume: 48,Issue: 1,Page: 165-176
Authors:  Aijun Yang;  Xuejun Jiang;  Lianjie Shu;  Pengfei Liu
Favorite |  | TC[WOS]:3 TC[Scopus]:3 | Submit date：2019/08/01
Correlation Prior  High-dimensional Data Classification  Multicategory Support Vector Machine  Sparse Bayesian Method