Publication Details
Title: A Probabilistic Model for Recursive Factorized Image Features
Author: S. Karayev, M. Fritz, S. Fidler, and T. Darrell
Group: Vision
Date: June 2011
PDF: http://www.icsi.berkeley.edu/pubs/vision/probabilisticmodel11.pdf
Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grants: IIS-0905647 and IIS-0819984. 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. This work was also partially supported by funding provided to ICSI by gifts from Toyota and Google.
Bibliographic Information:
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 401-408, Colorado Springs, Colorado
Bibliographic Reference:
S. Karayev, M. Fritz, S. Fidler, and T. Darrell. A Probabilistic Model for Recursive Factorized Image Features. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 401-408, Colorado Springs, Colorado, June 2011
Author: S. Karayev, M. Fritz, S. Fidler, and T. Darrell
Group: Vision
Date: June 2011
PDF: http://www.icsi.berkeley.edu/pubs/vision/probabilisticmodel11.pdf
Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grants: IIS-0905647 and IIS-0819984. 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. This work was also partially supported by funding provided to ICSI by gifts from Toyota and Google.
Bibliographic Information:
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 401-408, Colorado Springs, Colorado
Bibliographic Reference:
S. Karayev, M. Fritz, S. Fidler, and T. Darrell. A Probabilistic Model for Recursive Factorized Image Features. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 401-408, Colorado Springs, Colorado, June 2011