22 citations · 57 across the 11 of their papers we have counts for
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cs.LG2024★ 1 cited
Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
Dehua Peng, Zhipeng Gui, Wenzhang Wei +4
As a pivotal branch of machine learning, manifold learning uncovers the intrinsic low-dimensional structure within complex nonlinear manifolds in high-dimensional space for visuali…
cs.LG2023
A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion
Dehua Peng, Zhipeng Gui, Jie Gui +1
Boundary point detection aims to outline the external contour structure of clusters and enhance the inter-cluster discrimination, thus bolstering the performance of the downstream…
cs.LG2023★ 22 cited
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui, Tuo Chen, Jing Zhang +4
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data…