Article

Unsupervised Visual Domain Adaptation Using Subspace Alignment

Authors:

Basura Fernando,

Amaury Habrard,

Marc Sebban,

Tinne TuytelaarsAuthors Info & Claims

ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer Vision

Pages 2960 - 2967

https://doi.org/10.1109/ICCV.2013.368

Published: 01 December 2013 Publication History

Abstract

In this paper, we introduce a new domain adaptation (DA) algorithm where the source and target domains are represented by subspaces described by eigenvectors. In this context, our method seeks a domain adaptation solution by learning a mapping function which aligns the source subspace with the target one. We show that the solution of the corresponding optimization problem can be obtained in a simple closed form, leading to an extremely fast algorithm. We use a theoretical result to tune the unique hyper parameter corresponding to the size of the subspaces. We run our method on various datasets and show that, despite its intrinsic simplicity, it outperforms state of the art DA methods.

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Zhao TLuo DZhang XWang SBaeza-Yates RBonchi F(2024)Multi-source Unsupervised Domain Adaptation on Graphs with Transferability ModelingProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671829(4479-4489)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671829
Pillai ANepal SWang WNemesure MHeinz MPrice GLekkas DCollins AGriffin TBuck BPreum SCohen TJacobson NBen-Zeev DCampbell A(2024)Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile PhonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314527:4(1-38)Online publication date: 12-Jan-2024
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Gao MHuang W(2024)Latent space search approach for domain adaptationExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.123770249:PCOnline publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1016/j.eswa.2024.123770
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Published In

ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer Vision

December 2013

3650 pages

ISBN:9781479928408

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 December 2013

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Zhao TLuo DZhang XWang SBaeza-Yates RBonchi F(2024)Multi-source Unsupervised Domain Adaptation on Graphs with Transferability ModelingProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671829(4479-4489)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671829
Pillai ANepal SWang WNemesure MHeinz MPrice GLekkas DCollins AGriffin TBuck BPreum SCohen TJacobson NBen-Zeev DCampbell A(2024)Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile PhonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314527:4(1-38)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631452
Gao MHuang W(2024)Latent space search approach for domain adaptationExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.123770249:PCOnline publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1016/j.eswa.2024.123770
Zhang JLi WSun WZhang YTao R(2024)Locality Robust Domain Adaptation for cross-scene hyperspectral image classificationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.121822238:PAOnline publication date: 15-Mar-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.121822
Luo T(2024)Class-specific regularized joint distribution alignment for unsupervised domain adaptationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.107877131:COnline publication date: 1-May-2024
https://dl.acm.org/doi/10.1016/j.engappai.2024.107877
Liu KLi Y(2024)Remaining useful life prediction across machines using multi-source adversarial online knowledge distillationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107726130:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107726
Gentner NSusto G(2024)Heterogeneous domain adaptation and equipment matchingComputers and Industrial Engineering10.1016/j.cie.2023.109821187:COnline publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1016/j.cie.2023.109821
Luo LHu SChen L(2024)Discriminative Noise Robust Sparse Orthogonal Label Regression-Based Domain AdaptationInternational Journal of Computer Vision10.1007/s11263-023-01865-z132:1(161-184)Online publication date: 1-Jan-2024
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Kou HShi HZhao H(2024)Subspace and second-order statistical distribution alignment for cross-domain recognition of human hand motionsJournal of Intelligent Manufacturing10.1007/s10845-023-02150-z35:5(2277-2293)Online publication date: 1-Jun-2024
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Zang SLi DMa CMa J(2023)Joint Transfer Extreme Learning Machine with Cross-Domain Mean Approximation and Output Weight AlignmentComplexity10.1155/2023/50722472023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/5072247
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Visual Domain Adaptation with Manifold Embedded Distribution Alignment

Discriminative Subspace Alignment for Unsupervised Visual Domain Adaptation

Kernelized global-local discriminant information preservation for unsupervised domain adaptation

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