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Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 292, 页码: 17
作者:  Shan, Peng;  Bi, Yiming;  Li, Zhigang;  Wang, Qiaoyun;  He, Zhonghai;  Zhao, Yuhui;  Peng, Silong
收藏  |  浏览/下载：51/0  |  提交时间：2023/11/17
Model adaptation  Domain-invariant feature representation  Projected maximum mean discrepancy  Kernel partial least squares  
A nonlinear calibration transfer method based on joint kernel subspace 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, 卷号: 210, 页码: 14
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Wang, Shuyu;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：169/0  |  提交时间：2021/05/06
Calibration transfer  Multivariate calibration  Joint kernel subspace  Kernel partial least squares (KPLS)  
Basis Function Matrix-Based Flexible Coefficient Autoregressive Models: A Framework for Time Series and Nonlinear System Modeling 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 2, 页码: 614-623
作者:  Chen, Guang-Yong;  Gan, Min;  Chen, C. L. Philip;  Li, Han-Xiong
收藏  |  浏览/下载：186/0  |  提交时间：2021/03/08
Model building  nonlinear least squares (NLLS)  parameter estimation  system modeling  time series  
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:  Xie, Guo-Sen;  Zhang, Zheng;  Liu, Li;  Zhu, Fan;  Zhang, Xu-Yao;  Shao, Ling;  Li, Xuelong
收藏  |  浏览/下载：194/0  |  提交时间：2021/01/07
Training  Task analysis  Learning systems  Computational modeling  Optimization  Support vector machines  Principal component analysis  Feature learning  feature selection  least squares  subspace learning  
Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 卷号: 227, 页码: 16
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：198/0  |  提交时间：2020/03/30
Calibration transfer  Principal component analysis (PCA)  Kernel principal component analysis (KPCA)  Multivariate calibration  Joint spectral subspace  Partial least squares (PLS)  
A generalized least-squares approach regularized with graph embedding for dimensionality reduction 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 98, 页码: 10
作者:  Shen, Xiang-Jun;  Liu, Si-Xing;  Bao, Bing-Kun;  Pan, Chun-Hong;  Zha, Zheng-Jun;  Fan, Jianping
收藏  |  浏览/下载：253/0  |  提交时间：2020/03/30
Dimensionality reduction  Graph embedding  Subspace learning  Least-squares  
Ion Mobility Spectrometry Spectrum Denoising and Baseline Correction Algorithm by Sparse Representation 期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 卷号: 40, 期号: 1, 页码: 75-79
作者:  Zhang Gen-wei;  Peng Si-long;  Cao Shu-ya;  Zhao Jiang;  Yang Liu;  Yang Jie;  Yang Jun-chao;  Huang Qi-bin
收藏  |  浏览/下载：177/0  |  提交时间：2020/03/30
Ion mobility spectrometry  Denoising  Baseline correction  Sparse representation  Iteratively reweighted least squares  
Multi-view laplacian least squares for human emotion recognition 期刊论文
NEUROCOMPUTING, 2019, 卷号: 370, 页码: 78-87
作者:  Guo, Shuai;  Feng, Lin;  Feng, Zhan-Bo;  Li, Yi-Hao;  Wang, Yang;  Liu, Sheng-Lan;  Qiao, Hong
收藏  |  浏览/下载：262/0  |  提交时间：2020/03/30
Multi-view learning  Laplacian least squares  Subspace learning  Human emotion recognition  
A fast progressive spectrum denoising combined with partial least squares algorithm and its application in online Fourier transform infrared quantitative analysis 期刊论文
ANALYTICA CHIMICA ACTA, 2019, 卷号: 1074, 页码: 62-68
作者:  Zhang, Genwei;  Peng, Silong;  Cao, Shuya;  Zhao, Jiang;  Xie, Qiong;  Han, Quanjie;  Wu, Yifan;  Huang, Qibin
收藏  |  浏览/下载：309/0  |  提交时间：2019/07/11
Fourier transform infrared spectroscopy  Progressive spectrum denoising  Augmented Lagrange method  Partial least squares  Quantitative analysis  
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2410-2418
作者:  Chen, Guang-Yong;  Gan, Min;  Ding, Feng;  Chen, C. L. Philip
收藏  |  浏览/下载：233/0  |  提交时间：2019/12/16
Data fitting  modified Gram-Schmidt (MGS)  parameter estimation  separable nonlinear least-squares problem  variable projection (VP)