Character recognition using hierarchical vector quantization and temporal pooling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5360 LNAI, Issue , 2008, Pages 562-572

  Thornton, John ^a   Faichney, Jolon ^a   Blumenstein, Michael ^a   Hine, Trevor ^a  

^a GRIFFITH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALDEHYDES; ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; BIONICS; CHARACTER RECOGNITION; DATA STORAGE EQUIPMENT; INFERENCE ENGINES; LEARNING SYSTEMS; MAMMALS; MARKUP LANGUAGES; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; VECTORS;

BAYESIAN INFERENCES; COMPUTATIONAL NEUROSCIENCES; CURRENT STATES; HANDWRITING RECOGNITIONS; HAWKINS; MACHINE LEARNINGS; MAMMALIAN VISUAL CORTICES; NOISY DATUMS; PRE-PROCESSING; PREPROCESSING TECHNIQUES; RECOGNITION RATES; SENSORY INFORMATIONS; STATISTICAL REGULARITIES; STRUCTURED PATTERNS; SUPPORT VECTORS; TEMPORAL MEMORIES; TEMPORAL POOLING; TEMPORAL SEQUENCES; VECTOR QUANTIZATION ALGORITHMS;

VECTOR QUANTIZATION;

EID: 58349103791     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89378-3_57     Document Type: Conference Paper

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