Quantum subspace alignment for domain adaptation

01/08/2020
by   Xi He, et al.
0

Domain adaptation (DA) is used for adaptively obtaining labels of an unprocessed data set with given a related, but different labelled data set. Subspace alignment (SA), a representative DA algorithm, attempts to find a linear transformation to align the two different data sets. The classifier trained on the aligned labelled data set can be transferred to the unlabelled data set to classify the target labels. 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 SA algorithm, the quantum algorithm presented in our work achieves at least quadratic speedup in the number of given samples and the data dimension. In addition, the kernel method is applied to the quantum SA algorithm to capture the nonlinear characteristics of the data sets.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/07/2020

Quantum correlation alignment for unsupervised domain adaptation

Correlation alignment (CORAL), a representative domain adaptation (DA) a...
research
05/11/2021

Unsupervised domain adaptation via double classifiers based on high confidence pseudo label

Unsupervised domain adaptation (UDA) aims to solve the problem of knowle...
research
11/11/2018

Multiple Subspace Alignment Improves Domain Adaptation

We present a novel unsupervised domain adaptation (DA) method for cross-...
research
06/22/2017

Nonlinear Embedding Transform for Unsupervised Domain Adaptation

The problem of domain adaptation (DA) deals with adapting classifier mod...
research
10/16/2012

Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics

Joint alignment of a collection of functions is the process of independe...
research
09/18/2014

Subspace Alignment For Domain Adaptation

In this paper, we introduce a new domain adaptation (DA) algorithm where...
research
05/24/2022

On statistic alignment for domain adaptation in structural health monitoring

The practical application of structural health monitoring (SHM) is often...

Please sign up or login with your details

Forgot password? Click here to reset