Minghua Wan
Orcid: 0000-0001-5725-6240
According to our database1,
Minghua Wan
authored at least 63 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Tensor Low-Rank Graph Embedding and Learning for One-Step Incomplete Multi-View Clustering.
IEEE Trans. Multim., 2024
Knowl. Based Syst., 2024
Inf. Sci., 2024
Regularisation constrained denoising discriminant least squares regression for image classification.
Expert Syst. Appl., 2024
2023
Comput. Electr. Eng., December, 2023
Inf. Sci., November, 2023
Robust latent nonnegative matrix factorization with automatic sparse reconstruction for unsupervised feature extraction.
Inf. Sci., November, 2023
Structure preserving projections learning via low-rank embedding for image classification.
Inf. Sci., November, 2023
Robust non-negative supervised low-rank discriminant embedding (NSLRDE) for feature extraction.
Int. J. Mach. Learn. Cybern., June, 2023
Pattern Recognit., 2023
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Multim. Tools Appl., 2022
2D-MELPP: A two dimensional matrix exponential based extension of locality preserving projections for dimensional reduction.
KSII Trans. Internet Inf. Syst., 2022
A new weakly supervised discrete discriminant hashing for robust data representation.
Inf. Sci., 2022
2021
TDSSC: A Three-Directions Spectral-Spatial Convolution Neural Network for Hyperspectral Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection.
Remote. Sens., 2021
Feature Extraction via Sparse Fuzzy Difference Embedding (SFDE) for Robust Subspace Learning.
Neural Process. Lett., 2021
Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction.
Inf. Sci., 2021
Complex., 2021
2020
Int. J. Mach. Learn. Cybern., 2020
Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2020
SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions.
IEEE Access, 2020
2019
Sparse two-dimensional discriminant locality-preserving projection (S2DDLPP) for feature extraction.
Soft Comput., 2019
Generalized Discriminant Local Median Preserving Projections (GDLMPP) for Face Recognition.
Neural Process. Lett., 2019
Multim. Tools Appl., 2019
An improve face representation and recognition method based on graph regularized non-negative matrix factorization.
Multim. Tools Appl., 2019
IEEE Access, 2019
IEEE Access, 2019
2018
Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition.
Multim. Tools Appl., 2018
Int. J. Mach. Learn. Cybern., 2018
广义的鉴别局部中值保持投影及人脸识别 (Generalized Discriminant Local Median Preserving Projections and Face Recognition).
计算机科学, 2018
IEEE Access, 2018
2017
Two-dimensional discriminant locality preserving projections (2DDLPP) and its application to feature extraction via fuzzy set.
Multim. Tools Appl., 2017
KSII Trans. Internet Inf. Syst., 2017
Fuzzy Sets Syst., 2017
Multi-Manifold Locality Graph Embedding Based on the Maximum Margin Criterion (MLGE/MMC) for Face Recognition.
IEEE Access, 2017
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
2015
Multidimens. Syst. Signal Process., 2015
2014
A novel speech enhancement method based on constrained low-rank and sparse matrix decomposition.
Speech Commun., 2014
Neural Comput. Appl., 2014
Inf. Sci., 2014
Comput. Electr. Eng., 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
Fuzzy two-dimensional local graph embedding discriminant analysis (F2DLGEDA) with its application to face and palm biometrics.
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
Neurocomputing, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
2012
Fisher Difference Discriminant Analysis: Determining the Effective Discriminant Subspace Dimensions for Face Recognition.
Neural Process. Lett., 2012
Maximum inter-class and marginal discriminant embedding (MIMDE) for feature extraction and classification.
Neural Comput. Appl., 2012
Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics.
Mach. Vis. Appl., 2012
Local Graph Embedding Based on Maximum Margin Criterion (LGE/MMC) for Face Recognition.
Informatica (Slovenia), 2012
2011
Locally Minimizing Embedding and Globally Maximizing Variance: Unsupervised Linear Difference Projection for Dimensionality Reduction.
Neural Process. Lett., 2011
Neural Comput. Appl., 2011
Neurocomputing, 2011
Feature extraction using two-dimensional local graph embedding based on maximum margin criterion.
Appl. Math. Comput., 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics.
Neurocomputing, 2009