Learning invariant representations and applications to face verification
One approach to computer object recognition and modeling the brain's ventral stream involves unsupervised learning of representations that are invariant to common transformations. However, applications of these ideas have usually been limited to 2D affine transformations, e.g., translation and...
Main Authors: | Liao, Qianli, Leibo, Joel Z., Poggio, Tomaso A. |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | en_US |
Published: |
Neural Information Processing Systems Foundation
2014
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Online Access: | http://hdl.handle.net/1721.1/92318 https://orcid.org/0000-0002-3153-916X https://orcid.org/0000-0002-3944-0455 https://orcid.org/0000-0003-0076-621X |
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