@inproceedings{69c7c9eff2124324aaee5c0f7f71e2b7,
title = "Learning a Metric Embedding for Face Recognition using the Multibatch Method.",
abstract = "This work is motivated by the engineering task of achieving a near state-of-the-art face recognition on a minimal computing budget running on an embedded system. Our main technical contribution centers around a novel training method, called Multibatch, for similarity learning, i.e., for the task of generating an invariant face signature'' through training pairs of same'' and not-same'' face images.",
author = "Oren Tadmor and Tal Rosenwein and Shai Shalev-Shwartz and Yonatan Wexler and Amnon Shashua",
year = "2016",
language = "الإنجليزيّة",
series = "Advances in Neural Information Processing Systems",
pages = "1388--1389",
booktitle = "NIPS 2016",
note = "30th Annual Conference on Neural Information Processing Systems, NIPS 2016 ; Conference date: 05-12-2016 Through 10-12-2016",
}