Contrastive Learning with Similarity Enhancement for Dimensionality Reduction
Authors:
- Qi YangQYQi Yang
- Changpeng WangCWChangpeng Wang
- Linlin FengLFLinlin Feng
- Lizhen JiLJLizhen Ji
- Jiangshe ZhangJZJiangshe Zhang
- 18 September 2025
- journal article
- Published by Elsevier in Engineering Applications of Artificial Intelligence
- Vol. 161
Abstract
No abstract availableFunding Information
- Fundamental Research Funds for the Central Universities (300102125201)
- Natural Science Basic Research Program of Shaanxi Province (2024JC-YBQN-0034)
- Ministry of Education of the People's Republic of China
- National Natural Science Foundation of China (12471480)
This publication has 23 references indexed in Scilit:
- Correction of medical image segmentation errors through contrast learning with multi-branchEngineering Applications of Artificial Intelligence, 2025
- Self-supervised contrastive representation learning for classifying Internet of Things malwareEngineering Applications of Artificial Intelligence, 2025
- Robust augmentation-based contrastive clustering with negative data miningEngineering Applications of Artificial Intelligence, 2025
- NCLDR: Nearest-Neighbor Contrastive Learning with Dual Correlation Loss for Dimensionality ReductionNeurocomputing, 2024
- Dimensionality reduction by t-Distribution adaptive manifold embeddingApplied Intelligence, 2023
- Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualizationCommunications Biology, 2022
- Indian traffic sign detection and recognition using deep learningInternational Journal of Transportation Science and Technology, 2022
- The art of using t-SNE for single-cell transcriptomicsNature Communications, 2019
- Inverting Visual Representations with Convolutional Networks2016
- Adaptive nearest neighbor pattern classificationIEEE Transactions on Neural Networks, 1991