NIST · ИТ · e9cb723c0bab1eda19f8
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face recognition algorithms and empirically demonstrate that a surprisingly diverse set of face recognition approaches can be approximated well using a linear model. A linear model
NIST · ИТОфициальный источник · 2008-05-12
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"title_en": "Subspace Approximation of Face Recognition Algorithms: An Empirical Study",
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"date": "2008-05-12",
"date_original": "May 12, 2008",
"url": "https://www.nist.gov/publications/subspace-approximation-face-recognition-algorithms-empirical-study",
"source": "NIST Publications",
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"authors_en": "P J. Phillips , Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi",
"abstract_excerpt_en": "We present a theory for constructing linear subspace approximations to face recognition algorithms and empirically demonstrate that a surprisingly diverse set of face recognition approaches can be approximated well using a linear model. A linear model",
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"title_en": "Subspace Approximation of Face Recognition Algorithms: An Empirical Study",
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