Deep incomplete multi-view representation learning with doubly relation transfer

Dan Li

doi:10.1016/j.asoc.2026.114735

2026-02-07

PRE

DOI：10.1016/j.asoc.2026.114735

原文链接

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摘要

En 中文

• 提出一种简单而有效的双交叉视图样本关系迁移策略，用于解决不完整多视图问题。 • 在两个层面进行缺失信息补全：原始数据（模型输入）和表征。 • 能够有效处理部分缺失和完全缺失的场景。 • 在不同数据集和缺失率下的实验验证了模型的有效性。

Keyword:

multi-view learning

missing data imputation

representation learning

relation transfer

incomplete data

期刊

Applied Soft Computing

IF:

6.6

论文数:

1.4W

被引数:

4.8W

机构

Shandong University

学者数:

7.1K

论文数: 2.5K

被引数: 8.4W

yantai university

学者数:

2.3K

论文数: 767

被引数: 0

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