TY - GEN
T1 - GMs in on-line handwritten whiteboard note recognition
T2 - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
AU - Schenk, Joachim
AU - Hörnler, Benedikt
AU - Schuller, Björn
AU - Braun, Artur
AU - Rigoll, Gerhard
PY - 2009
Y1 - 2009
N2 - We present a comparison of two state-of-the-art toolboxes for implementing Graphical Models (GMs), namely the HTK and the GMTK, and their use for discrete on-line handwritten whiteboard note recognition. We then motivate a GM that is capable of modeling the statistical dependencies between the pen's pressure information and the remaining features after vector quantization. Since the number of variable parameters rises when more codebook entries are used for quantization, the proposed model outperforms standard HMMs for low numbers of codebook entries.
AB - We present a comparison of two state-of-the-art toolboxes for implementing Graphical Models (GMs), namely the HTK and the GMTK, and their use for discrete on-line handwritten whiteboard note recognition. We then motivate a GM that is capable of modeling the statistical dependencies between the pen's pressure information and the remaining features after vector quantization. Since the number of variable parameters rises when more codebook entries are used for quantization, the proposed model outperforms standard HMMs for low numbers of codebook entries.
UR - https://www.scopus.com/pages/publications/71249137263
U2 - 10.1109/ICDAR.2009.127
DO - 10.1109/ICDAR.2009.127
M3 - Conference contribution
AN - SCOPUS:71249137263
SN - 9780769537252
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 877
EP - 880
BT - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
Y2 - 26 July 2009 through 29 July 2009
ER -