Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation

Zhonghua Liu, Tiansheng Wang, Fa Zhu, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos

Abstract: Highlights•The equilibrium distribution and dynamic subspace approximation (EDDSA) is proposed.•The double subspace transformation is introduced into EDDSA.•The divergence problem in EDDSA is minimized using dynamical change strategy.