Unsupervised detector adaptation by joint dataset feature learning

Htike, KK and Hogg, D (2014) Unsupervised detector adaptation by joint dataset feature learning. In: Chmielewski, LJ, Kozera, R, Shin, B-S and Wojciechowski, K, (eds.) Computer Vision and Graphics International Conference, ICCVG 2014, Proceedings. International Conference, ICCVG, 15-17 Sep 2014, Warsaw. Springer Verlag , 270 - 277. ISBN 978-3-319-11331-9

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Htike, KK
  • Hogg, D
Editors:
  • Chmielewski, LJ
  • Kozera, R
  • Shin, B-S
  • Wojciechowski, K
Copyright, Publisher and Additional Information:

(c) 2014, Springer. This is an author produced version of a paper published in Computer Vision and Graphics: International Conference, ICCVG 2014, Warsaw, Poland, September 15-17, 2014. Proceedings. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-11331-9_33

Dates:
  • Published: 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Aug 2015 11:35
Last Modified: 21 Feb 2024 14:23
Published Version: http://dx.doi.org/10.1007/978-3-319-11331-9_33
Status: Published
Publisher: Springer Verlag
Identification Number: 10.1007/978-3-319-11331-9_33
Open Archives Initiative ID (OAI ID):

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