Jun Ma

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Subspace Learning

Pattern Classification

Dimensionality Reduction

Distance Metric

Top Venues

Eng. Appl. Artif. Intell.

Signal Process.

Publications

Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu
A novel robust adaptive subspace learning framework for dimensionality reduction. Appl. Intell. 54 (19) (2024)
Jun Ma, Guolin Yu
Robust adaptive learning framework for semi-supervised pattern classification. Signal Process. 224 (2024)
Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu
Sparse robust adaptive unsupervised subspace learning for dimensionality reduction. Eng. Appl. Artif. Intell. 129 (2024)
Jun Ma, Guolin Yu
A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition. Signal Process. 211 (2023)
Yimeng Jiang, Guolin Yu, Jun Ma
Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification. Axioms 12 (8) (2023)
Haoyu Wang, Guolin Yu, Jun Ma
Capped L2, p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss. Symmetry 15 (5) (2023)
Bao Ma, Jun Ma, Guolin Yu
A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification. Axioms 12 (8) (2023)
Guolin Yu, Jun Ma, Chenzhen Xie
Hessian scatter regularized twin support vector machine for semi-supervised classification. Eng. Appl. Artif. Intell. 119 (2023)
Jun Ma, Guolin Yu, Weizhi Xiong, Xiaolong Zhu
Safe semi-supervised learning for pattern classification. Eng. Appl. Artif. Intell. 121 (2023)
Jun Ma, Guolin Yu
Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification. Symmetry 14 (6) (2022)