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Determination of Age and Gender Based on Features of Human Motion Using AdaBoost Algorithms

Bibliographic Data

ID21199213
AuthorsS Handri (Nagaoka University, corresponding author), Shusaku Nomura (0000-0003-2815-3968, Nagaoka University), Kazuo NAKAMURA (0000-0003-3246-4240, Nagaoka University)
Year2011
Volume3
Issue3
Pages233-241
Publication date2011-08-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Social Robotics (JOURNAL)
Journal identifiersISSN: 1875-4791 • E-ISSN: 1875-4805
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12369-010-0089-0
OpenAlexW2087789233
LanguageEN
Citations received1
References cited16

AdaBoost · Algorithm · Human motion · Machine learning · Support vector machine · Computer Science · Gait Recognition and Analysis · Human Pose and Action Recognition · Video Surveillance and Tracking Methods · Artificial Intelligence

  • Recognizing Emotions Conveyed by Human Gait

    Open Access•Gentiane Venture, Hideki Kadone et al.•International Journal of Social…•2014

  • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

    Open Access•Yoav Freund, Robert E Schapire•Journal of Computer and System…•1997

Citations per year0.08
Citation span2014 - 2014 (1)
Highly citedNo

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