A multi-class classification strategy for Fisher scores: application to signer independent sign language recognition

DOI10.1016/J.PATCOG.2009.12.002zbMath1191.68550OpenAlexW2116427319MaRDI QIDQ962759

Oya Aran, Lale Akarun

Publication date: 7 April 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.12.002

zbMATH Keywords

hidden Markov modelsmulti-class classificationFisher scoresgenerative and discriminative classifierssign language recognition

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

Pattern classification of signals using Fisher kernels

Uses Software

• LIBSVM

Cites Work

• A belief-based sequential fusion approach for fusing manual signs and non-manual signals
• Understanding gestures with systematic variations in movement dynamics
• A Dempster-Shafer Theory Based Combination of Classifiers for Hand Gesture Recognition
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