Novel VQ designs for discrete HMM on-line handwritten whiteboard note recognition

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

Volumn 5096 LNCS, Issue , 2008, Pages 234-243

  Schenk, Joachim ^a   Schwärzler, Stefan ^a   Ruske, Günther ^a   Rigoll, Gerhard ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; HIDDEN MARKOV MODELS; PATTERN RECOGNITION; VECTOR QUANTIZATION;

BINARY FEATURES; CONTINUOUS; DISCRETE; HANDWRITING RECOGNITIONS; K-MEANS; NEW DESIGNS; NEW SYSTEMS; ON-LINE; RECOGNITION ACCURACIES; WHITEBOARD; YIELDING;

DESIGN;

EID: 54349114351     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69321-5_24     Document Type: Conference Paper

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