Publication Details

Title: Learning to Hash with Binary Reconstructive Embeddings
Author: B. Kulis and T. Darrell
Group: Vision
Date: December 2009
PDF: http://www.icsi.berkeley.edu/pubs/vision/learningto09.pdf

Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grant IIS-0905647 ("Computer Vision and Online Communities: A Symbiosis"), by the U.S. Defense Advanced Research Projects Agency (DARPA), and through a gift from Google. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation, DARPA, or the U.S. Government.

Bibliographic Information:
Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, Canada, pp. 1042-1050. Also appeared as EECS Department, UC Berkeley Technical Report No. UCB-EECS-2009-101, Berkeley, California, July 2009.

Bibliographic Reference:
B. Kulis and T. Darrell. Learning to Hash with Binary Reconstructive Embeddings. Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, Canada, pp. 1042-1050. Also appeared as EECS Department, UC Berkeley Technical Report No. UCB-EECS-2009-101, Berkeley, California, July 2009., December 2009