Journal article

Learning Where to Attend with Deep Architectures for Image Tracking

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Denil, M., Bazzani, L., Larochelle, H., & De Freitas, J. (2012). Learning Where to Attend with Deep Architectures for Image Tracking. Neural Computation, 24(8), 2151–2184.

MLA Style

Denil, M., et al. “ Learning Where to Attend with Deep Architectures for Image Tracking.” Neural Computation, vol. 24, no. 8, 2012, pp. 2151–84.

Chicago Style

Denil, M, L Bazzani, H Larochelle, and J De Freitas. 2012. “ Learning Where to Attend with Deep Architectures for Image Tracking.” Neural Computation 24 (8): 2151–84.
Share
Print

Access Document

Publisher copy:: 10.1162/NECO_a_00312

Authors

+ Denil, M More by this author

Role:: Author

+ Bazzani, L More by this author

Role:: Author

+ Larochelle, H More by this author

Role:: Author

+ De Freitas, J More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Computer Science
Role:: Author

Journal:: Neural Computation More from this journal
Volume:: 24
Issue:: 8
Pages:: 2151-2184
Publication date:: 2012-08-01
DOI:: 10.1162/NECO_a_00312
EISSN:: 1530-888X
ISSN:: 0899-7667

Pubs id:: pubs:420639
UUID:: uuid:4cd2b665-a109-4917-86e0-a48da941c578
Local pid:: pubs:420639
Source identifiers:: 420639
Deposit date:: 2013-11-16

Terms of use

Copyright date:: 2012

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP