Abstract

Popular domain adaptation (DA) techniques learn a classifier for the target domain by sampling relevant data points from the source and combining it with the target data. We present a Support Vector Machine (SVM) based supervised DA technique, where the similarity between source and target domains is mod-eled as the similarity between their SVM decision boundaries. We couple the source and target SVMs and reduce the model to a standard single SVM. We test the Coupled-SVM on multiple datasets and compare our results with other popular SVM based DA approaches.

Original languageEnglish (US)
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages1295-1298
Number of pages4
ISBN (Electronic)9781450334594
DOIs
StatePublished - Oct 13 2015
Event23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia
Duration: Oct 26 2015Oct 30 2015

Other

Other23rd ACM International Conference on Multimedia, MM 2015
CountryAustralia
CityBrisbane
Period10/26/1510/30/15

Fingerprint

Support vector machines
Classifiers
Sampling

Keywords

  • Coupled SVM
  • Supervised Domain Adaptation

ASJC Scopus subject areas

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Demakethepalli Venkateswara, H., Lade, P., Ye, J., & Panchanathan, S. (2015). Coupled support vector machines for supervised domain adaptation. In MM 2015 - Proceedings of the 2015 ACM Multimedia Conference (pp. 1295-1298). Association for Computing Machinery, Inc. https://doi.org/10.1145/2733373.2806334

Coupled support vector machines for supervised domain adaptation. / Demakethepalli Venkateswara, Hemanth; Lade, Prasanth; Ye, Jieping; Panchanathan, Sethuraman.

MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2015. p. 1295-1298.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Demakethepalli Venkateswara, H, Lade, P, Ye, J & Panchanathan, S 2015, Coupled support vector machines for supervised domain adaptation. in MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, pp. 1295-1298, 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, Australia, 10/26/15. https://doi.org/10.1145/2733373.2806334
Demakethepalli Venkateswara H, Lade P, Ye J, Panchanathan S. Coupled support vector machines for supervised domain adaptation. In MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc. 2015. p. 1295-1298 https://doi.org/10.1145/2733373.2806334
Demakethepalli Venkateswara, Hemanth ; Lade, Prasanth ; Ye, Jieping ; Panchanathan, Sethuraman. / Coupled support vector machines for supervised domain adaptation. MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2015. pp. 1295-1298
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