Sep 1, 2024 · This paper proposes a domain adaptation learning based on the Equilibrium Distribution and Dynamic Subspace Approximation (EDDSA) to alleviate ...

This paper proposes a domain adaptation learning based on the Equilibrium Distribution and Dynamic Subspace Approximation (EDDSA) to alleviate these problems.

Jul 17, 2024 · This paper proposes a domain adaptation learning based on the Equilibrium Distribution and Dynamic Subspace Approximation (EDDSA) to alleviate ...

Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation ... distribution divergence between the two domains. However ...

Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation ... Authors: Zhonghua Liu; Tiansheng Wang; Fa Zhu; Xingchi Chen ...

This study develops a low-rank sparse representation-based transition subspace learning (LRSRTS) algorithm. Based on low-rank reconstruction transfer subspace ...

Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation. Liu, Zhonghua;Wang, Tiansheng;Zhu, Fa;Chen, Xingchi;Pelusi ...

A new model framework for cross-domain image classification based on double relaxed discriminative regression based on MTSL-DRDR, which is evaluated on ...

Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation. Zhonghua Liu, Tiansheng Wang, Fa Zhu, Xingchi Chen, Danilo ...

Aug 14, 2024 · Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation. ... Manifold transfer subspace learning based ...