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Nov, 2023
超越结构稀疏性的非线性独立成分分析的泛化
Generalizing Nonlinear ICA Beyond Structural Sparsity
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Yujia Zheng, Kun Zhang
TL;DR
非线性独立分量分析的可辨识性在结构稀疏性、不完备性、灵活分组结构等限制条件下得到了一系列新的可辨识性结果,支持实验证据在合成和真实数据集上。
Abstract
nonlinear independent component analysis
(ICA) aims to uncover the true latent sources from their observable nonlinear mixtures. Despite its significance, the
identifiability
of nonlinear ICA is known to be impos
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