Adaptive group sparse multi-view classification method based on mutual information

Yadi Wang

doi:10.1016/j.patcog.2025.112931

2025-12-20

PRE

DOI：10.1016/j.patcog.2025.112931

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摘要

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• 通过类别标签特定的互信息进行多视图特征分组。 • 自适应基于MI的权重施加稀疏性以有效选择关键特征。 • AGSMC融合分组和加权以增强分类性能。 • 快速迭代优化显示出AGSMC的稳定性和卓越精度。

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Pattern Recognition

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7.6

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1.3W

被引数:

4.5W

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computer and information engineering

学者数:

174

论文数: 69

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henan key laboratory of big data analysis and processing

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School of Information Science and Engineering

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488

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College of Artificial Intelligence

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364

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School of Data Science

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