研究论文
Unsupervised feature selection based on bipartite graph and low-redundant regularization
Longyan Xiang, Hongmei Chen, Tengyu Yin, Shi‐Jinn Horng, Tianrui Li
Southwest Jiaotong University Asia University China Medical University China Medical University Hospital
来源Knowledge-Based Systems
年份2024
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计算机 / AIFace and Expression Recognition
Neural Networks and Applications · Image Retrieval and Classification Techniques
参考文献 53
Unsupervised feature selection via maximum projection and minimum redundancy
被引 85Shiping Wang, Witold Pedrycz, Qingxin Zhu · Knowledge-Based Systems · 2014
Laplacian Score for Feature Selection
被引 1,771Xiaofei He, Deng Cai, Partha Niyogi · 2005
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition
被引 170Zhigang Tu, Hongyan Li, Dejun Zhang · IEEE Transactions on Image Processing · 2019
此处列出前 3 条
引用本文 15
A survey on feature selection techniques for biomedical data: Methods and applications
被引 10Y Chen, Weiping Ding, Qichong Hua · Neurocomputing · 2025
Feature selection-based rough graph classification via graph convolutional neural networks
被引 5Lin Sun, Yiwen Cai, Weiping Ding · Engineering Applications of Artificial Intelligence · 2025
AGNSA: Adaptive graph learning-based unsupervised feature selection with non-convex sparse autoencoder
被引 4Lin Sun, Mengqing Li, Weiping Ding · Applied Soft Computing · 2025
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