May 29, 2023 · In this paper, the quantum kernel subspace alignment algorithm is proposed to achieve the procedure of DA by extracting the non-linear features ...
In this paper, the quantum kernel subspace alignment algorithm is proposed to achieve the procedure of DA by extracting the non-linear features with the ...
Bibliographic details on Quantum kernel subspace alignment for unsupervised domain adaptation.
In this paper, the quantum kernel subspace alignment algorithm is proposed to achieve the procedure of DA by extracting the non-linear features with the quantum ...
This paper presents two quantum implementations of the DA classifier, one of which can predict the labels of the target domain data with logarithmic resources.
Jan 8, 2020 · In this paper, two quantum versions of the SA are proposed to implement the DA procedure on quantum devices.
Missing: kernel unsupervised
In this paper, a quantum version of the SA algorithm is proposed to implement the domain adaptation procedure on a quantum computer. Compared with the classical ...
Quantum kernel subspace alignment for unsupervised domain adaptation. CACML ... Quantum subspace alignment for domain adaptation. CoRR abs/2001.02472 ...
Quantum kernel subspace alignment for unsupervised domain adaptation. X He, F Du. Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and ...
Jan 5, 2022 · This paper revisits the use of subspace alignment for UDA and proposes a novel adaptation algorithm that consistently leads to improved generalization.
Missing: Quantum kernel