@inbook{06341024e974454d8fce8fb45f823da7,
title = "Deep Feature Fusion for Face Analytics",
abstract = "Data produced from a particular source often exhibit correlations with those arising from other sources. Common data sources include (i) sensors—that gather raw data, (ii) feature extractors—which process the raw data from sensors to generate features representing the original data, and (iii) evaluators- –which produce a score or a measure that conveys the likelihood of the provided features belonging to an application specific hypothesis.",
author = "Nishant Sankaran and Mohan, \{Deen Dayal\} and Sergey Tulyakov and Srirangaraj Setlur and Venu Govindaraju",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2021",
doi = "10.1007/978-3-030-74697-1\_9",
language = "English",
series = "Advances in Computer Vision and Pattern Recognition",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "189--208",
booktitle = "Advances in Computer Vision and Pattern Recognition",
address = "Germany",
}