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Volumn 4, Issue , 2000, Pages 2361-2364
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Implementation and comparison of three architectures for gesture recognition
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Author keywords
[No Author keywords available]
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Indexed keywords
DYNAMIC PROGRAMMING;
HIDDEN MARKOV MODELS;
MARKOV PROCESSES;
MEMORY ARCHITECTURE;
NETWORK ARCHITECTURE;
PATTERN MATCHING;
PATTERN RECOGNITION SYSTEMS;
RADIAL BASIS FUNCTION NETWORKS;
REAL TIME SYSTEMS;
SIGNAL PROCESSING;
VIDEO CAMERAS;
ALGORITHMS;
MATHEMATICAL MODELS;
MAXIMUM LIKELIHOOD ESTIMATION;
NEURAL NETWORKS;
PROBABILITY;
COMBINATION OF NEURAL-NETWORK;
CONTINUOUS PARAMETERS;
DYNAMIC PATTERN MATCHING;
DYNAMIC PROGRAMMING TECHNIQUES;
DYNAMIC TIME WARPING ALGORITHMS;
HYBRID ARCHITECTURES;
RECOGNITION ACCURACY;
STATISTICAL CLASSIFICATION;
GESTURE RECOGNITION;
PATTERN RECOGNITION;
DYNAMIC TIME WARPING ALGORITHM;
GESTURE RECOGNITION;
HIDDEN MARKOV MODELS;
RADIAL BASIS FUNCTION NETWORK;
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EID: 0033676831
PISSN: 15206149
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICASSP.2000.859315 Document Type: Conference Paper |
Times cited : (7)
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References (16)
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