Zhengming Ma

According to our database, Zhengming Ma authored at least 62 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

RKHS subspace domain adaption via minimum distribution gap.

Yanzhen Qiu, Chuangfeng Zhang, Chenkui Xiong, Zhengming Ma, Shaolin Liao

Pattern Anal. Appl., August, 2023

Discriminative subspace learning via optimization on Riemannian manifold.

Wanguang Yin, Zhengming Ma, Quanying Liu

Pattern Recognit., July, 2023

Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity.

Wenxu Gao, Zhengming Ma, Chenkui Xiong, Ting Gao

Appl. Intell., 2023

2022

Dimensionality Reduction Based on Multilocal Linear Pattern Preservation.

Shujie Zhang, Zhengming Ma, Guokai Zhang, Weichao Gan

IEEE Trans. Knowl. Data Eng., 2022

Dimensionality reduction of tensors based on manifold-regularized tucker decomposition and its iterative solution.

Haidong Huang, Zhengming Ma, Guokai Zhang

Int. J. Mach. Learn. Cybern., 2022

Local homeomorphism regularized non-negative Tucker decomposition of tensor data.

Guo Niu, Zhengming Ma, Xi Liu

J. Intell. Fuzzy Syst., 2022

HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction.

Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu

Neurocomputing, 2022

Tensor local linear embedding with global subspace projection optimisation.

Guo Niu, Zhengming Ma

IET Comput. Vis., 2022

Regularized RKHS-Based Subspace Learning for Motor Imagery Classification.

Linzhi Jiang, Shuyu Liu, Zhengming Ma, Wenjie Lei, Cheng Chen

Entropy, 2022

Dimensionality reduction algorithm of tensor data based on orthogonal tucker decomposition and local discrimination difference.

Wenxu Gao, Zhengming Ma, Xuejing Yuan

Appl. Intell., 2022

Domain Adaption Based on MSE Criterion and Progressive RKHS Subspace Learning (MSEpRKHS_DA).

Yanzhen Qiu, Shuyu Liu, Zhengming Ma, Hui He

IEEE Access, 2022

Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism.

Hui He, Shuyu Liu, Zhengming Ma, Weijia Feng

IEEE Access, 2022

2021

Manifold Learning Based on Straight-Like Geodesics and Local Coordinates.

Zhengming Ma, Zengrong Zhan, Zijian Feng, Jiajing Guo

IEEE Trans. Neural Networks Learn. Syst., 2021

Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization.

Shujie Zhang, Zhengming Ma, Weichao Gan

IEEE Trans. Image Process., 2021

Domain adaption based on source dictionary regularized RKHS subspace learning.

Wenjie Lei, Zhengming Ma, Yuanping Lin, Wenxu Gao

Pattern Anal. Appl., 2021

Dimensionality reduction based on multi-local linear regression and global subspace projection distance minimum.

Haidong Huang, Zhengming Ma, Guokai Zhang, Huibin Wu

Pattern Anal. Appl., 2021

The framework of learnable kernel function and its application to dictionary learning of SPD data.

Weijia Feng, Zhengming Ma, Rixin Zhuang, Hangjian Che

Pattern Anal. Appl., 2021

Dimensionality Reduction Based on kCCC and Manifold Learning.

Gengshi Huang, Zhengming Ma, Tianshi Luo

J. Math. Imaging Vis., 2021

Polynomial approximation to manifold learning.

Guo Niu, Zhengming Ma, Haoqing Chen, Xue Su

J. Intell. Fuzzy Syst., 2021

Local quasi-linear embedding based on kronecker product expansion of vectors.

Guo Niu, Zhengming Ma

J. Intell. Fuzzy Syst., 2021

Dimensionality reduction of tensor data based on local linear embedding and mode product.

Ting Gao, Zhengming Ma, Wenxu Gao, Shuyu Liu

J. Intell. Fuzzy Syst., 2021

Dimensionality reduction for tensor data based on projection distance minimization and hilbert-schmidt independence criterion maximization.

Weichao Gan, Zhengming Ma, Shuyu Liu

J. Intell. Fuzzy Syst., 2021

Tensor dimensionality reduction via mode product and HSIC.

Guo Niu, Zhengming Ma

IET Image Process., 2021

Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry.

Wenxu Gao, Zhengming Ma, Weichao Gan, Shuyu Liu

Entropy, 2021

Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels.

Xinlong Lu, Zhengming Ma, Yuanping Lin

CoRR, 2021

Riemannian-based Discriminant Analysis for Feature Extraction and Classification.

Wanguang Yin, Zhengming Ma, Quanying Liu

CoRR, 2021

HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction.

Wanguang Yin, Zhengming Ma, Quanying Liu

CoRR, 2021

Domain Adaption Based on Symmetric Matrices Space Bi-Subspace Learning and Source Linear Discriminant Analysis Regularization.

Qian Li, Zhengming Ma, Shuyu Liu, Yanli Pei

IEEE Access, 2021

EEG Mental Recognition Based on RKHS Learning and Source Dictionary Regularized RKHS Subspace Learning.

Wenjie Lei, Zhengming Ma, Shuyu Liu, Yuanping Lin

IEEE Access, 2021

SPD Data Dimensionality Reduction based on SPD Manifold Tangent Space and Local LDA.

Xuejing Yuan, Xiao Huang, Zhengming Ma

Proceedings of the ICACS '21: 2021 The 5th International Conference on Algorithms, Computing and Systems, Xi'an, China, September 24, 2021

2020

A Double-Density Clustering Method Based on "Nearest to First in" Strategy.

Yaohui Liu, Dong Liu, Fang Yu, Zhengming Ma

Symmetry, 2020

Local tangent space alignment based on Hilbert-Schmidt independence criterion regularization.

Xinghua Zheng, Zhengming Ma, Lei Li

Pattern Anal. Appl., 2020

Kernel-Based Subspace Learning on Riemannian Manifolds for Visual Recognition.

Xi Liu, Zhengming Ma

Neural Process. Lett., 2020

High order discriminant analysis based on Riemannian optimization.

Wanguang Yin, Zhengming Ma

Knowl. Based Syst., 2020

Dimensionality reduction of tensor based on subspace learning and local homeomorphism.

Guokai Zhang, Zhengming Ma, Haidong Huang

J. Intell. Fuzzy Syst., 2020

SPD Data Dictionary Learning Based on Kernel Learning and Riemannian Metric.

Rixin Zhuang, Zhengming Ma, Weijia Feng, Yuanping Lin

IEEE Access, 2020

Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum.

Guokai Zhang, Zhengming Ma, Haidong Huang

IEEE Access, 2020

Maximum Discriminant Difference Criterion for Dimensionality Reduction of Tensor Data.

Xinya Peng, Zhengming Ma, Haowei Xu

IEEE Access, 2020

2019

Biomedical Data Analysis Based on Multi-view Intact Space Learning with Geodesic Similarity Preserving.

Zengrong Zhan, Zhengming Ma, Wei Peng

Neural Process. Lett., 2019

HSIC regularized manifold learning.

Xinghua Zheng, Zhengming Ma, Hanjian Che, Lei Li

J. Intell. Fuzzy Syst., 2019

LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets.

Wanguang Yin, Zhengming Ma

Neurocomputing, 2019

HSIC Regularized LTSA.

Xinghua Zheng, Zhengming Ma, Hangjian Che, Lei Li

Comput. Informatics, 2019

A Lightweight Channel-spatial Attention Network for Real-time Image De-raining.

Yirui Zeng, Zhengming Ma

Proceedings of the DMIP 2019: 2nd International Conference on Digital Medicine and Image Processing, 2019

2018

On the Equivalence of HLLE and LTSA.

Sumin Zhang, Zhengming Ma, Hengliang Tan

IEEE Trans. Cybern., 2018

Regularized constraint subspace based method for image set classification.

Hengliang Tan, Ying Gao, Zhengming Ma

Pattern Recognit., 2018

Discriminant Analysis with Local Gaussian Similarity Preserving for Feature Extraction.

Xi Liu, Zhengming Ma

Neural Process. Lett., 2018

Nonlinear Dimensionality Reduction Based on HSIC Maximization.

Zhengming Ma, Zengrong Zhan, Xiaoyuan Ouyang, Xue Su

IEEE Access, 2018

2017

Ensemble Multiple-Kernel Based Manifold Regularization.

Guo Niu, Zhengming Ma, Shaogao Lv

Neural Process. Lett., 2017

Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy.

Liu Yaohui, Zhengming Ma, Yu Fang

Knowl. Based Syst., 2017

Local non-linear alignment for non-linear dimensionality reduction.

Guo Niu, Zhengming Ma

IET Comput. Vis., 2017

Document Analysis Based on Multi-view Intact Space Learning with Manifold Regularization.

Zengrong Zhan, Zhengming Ma

Proceedings of the Intelligence Science and Big Data Engineering, 2017

2015

Grassmann manifold for nearest points image set classification.

Hengliang Tan, Zhengming Ma, Sumin Zhang, Zengrong Zhan, Beibei Zhang, Chenggong Zhang

Pattern Recognit. Lett., 2015

2014

The Huffman-like Alignment in Manifold Learning.

Zhengming Ma, Jing Chen

Int. J. Pattern Recognit. Artif. Intell., 2014

Face recognition based on the fusion of global and local HOG features of face images.

Hengliang Tan, Bing Yang, Zhengming Ma

IET Comput. Vis., 2014

A Manifold Learning Fusion Algorithm Based on Distance and Angle Preservation.

Yanchun Gu, Defeng Zhang, Zhengming Ma, Guo Niu

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2013

Local Coordinates Alignment With Global Preservation for Dimensionality Reduction.

Jing Chen, Zhengming Ma, Yang Liu

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

An improved HLLE algorithm based on the midpoint-nearest neighborhood selection.

Sumin Zhang, Qiuli Kong, Shuaibin Lian, Zhengming Ma

Proceedings of the 2012 IEEE International Conference on Automation and Logistics, 2012

2011

Locally Linear Embedding: a Review.

Jing Chen, Zhengming Ma

Int. J. Pattern Recognit. Artif. Intell., 2011

Constraints on the Neighborhood Size in LLE.

Zhengming Ma, Jing Chen, Shuaibin Lian

IEICE Trans. Inf. Syst., 2011

2009

Direct kernel neighborhood discriminant analysis for face recognition.

Haifeng Hu, Ping Zhang, Zhengming Ma

Pattern Recognit. Lett., 2009

2007

Embedded Morphological Dilation and Variable Run Length Wavelet Coding.

Yinghong Zhou, Zhengming Ma

Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE 2007), 2007

2001

Lifting scheme and image coding: average interpolating image coding.

Jianfen Zeng, Zhengming Ma

Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001