Xiuhong Chen
Orcid: 0000-0001-7600-1673
According to our database1,
Xiuhong Chen
authored at least 30 papers
between 2004 and 2024.
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Bibliography
2024
Low-rank approximation-based bidirectional linear discriminant analysis for image data.
Multim. Tools Appl., 2024
Non-negative consistency affinity graph learning for unsupervised feature selection and clustering.
Eng. Appl. Artif. Intell., 2024
2023
Flexible sparse robust low-rank approximation of matrix for image feature selection and classification.
Soft Comput., December, 2023
Multi-view clustering with Laplacian rank constraint based on symmetric and nonnegative low-rank representation.
Comput. Vis. Image Underst., November, 2023
Sparse low-rank approximation of matrix and local preservation for unsupervised image feature selection.
Appl. Intell., November, 2023
Future video frame prediction based on generative motion-assistant discriminative network.
Appl. Soft Comput., March, 2023
Appl. Intell., February, 2023
Latent low-rank representation sparse regression model with symmetric constraint for unsupervised feature selection.
IET Image Process., 2023
Non-negative low-rank adaptive preserving sparse matrix regression model for supervised image feature selection and classification.
IET Image Process., 2023
A Fast Neural Network-Based Approach for Joint MID-IR and FAR-IR Surface Spectral Emissivity Retrieval.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2021
Joint feature weighting and adaptive graph-based matrix regression for image supervised feature Selection.
Signal Process. Image Commun., 2021
Nonnegative spectral clustering and adaptive graph-based matrix regression for unsupervised image feature selection.
Multim. Tools Appl., 2021
Low-rank nonnegative sparse representation and local preservation-based matrix regression for supervised image feature selection.
IET Image Process., 2021
Margin-based discriminant embedding guided sparse matrix regression for image supervised feature selection.
Comput. Vis. Image Underst., 2021
2020
IET Image Process., 2020
Robust graph regularised sparse matrix regression for two-dimensional supervised feature selection.
IET Image Process., 2020
Dynamic Graph Regularization and Label Relaxation-Based Sparse Matrix Regression for Two-Dimensional Feature Selection.
IEEE Access, 2020
2019
<i>L</i> <sub>2, 1</sub>-norm-based sparse principle component analysis with trace norm regularised term.
IET Image Process., 2019
A Binary Multi-Scale Quantum Harmonic Oscillator Algorithm for 0-1 Knapsack Problem With Genetic Operator.
IEEE Access, 2019
2018
Comput. Intell. Neurosci., 2018
2017
Running climate model on a commercial cloud computing environment: A case study using Community Earth System Model (CESM) on Amazon AWS.
Comput. Geosci., 2017
2016
基于区域混合活动轮廓模型的医学图像分割 (Medical Image Segmentation Based on Region-based Hybrid Active Contour Model).
计算机科学, 2016
Fisher discrimination sparse learning based on graph embedding for image classification.
Proceedings of the 12th International Conference on Natural Computation, 2016
2015
2014
J. Softw., 2014
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014
2009
A Contextual Information Acquisition Approach Based on Semantics and Mashup Technology.
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009
2007
Symmetric duality for minimax multiobjective variational mixed integer programming problems with partial-invexity.
Eur. J. Oper. Res., 2007
2006
Proceedings of the 10th International Conference on CSCW in Design, 2006
2004
Minimax and symmetric duality for a class of multiobjective variational mixed integer programming problems.
Eur. J. Oper. Res., 2004