A comparison of HMM, Naïve Bayesian, and Markov model in exploiting knowledge content in digital ink: A case study on handwritten music notation recognition

Kian Chin Lee, Somnuk Phon-Amnuaisuk, Choo-Yee Ting. A comparison of HMM, Naïve Bayesian, and Markov model in exploiting knowledge content in digital ink: A case study on handwritten music notation recognition. In Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, ICME 2010, 19-23 July 2010, Singapore. pages 292-297, IEEE, 2010. [doi]

@inproceedings{LeePT10,
  title = {A comparison of HMM, Naïve Bayesian, and Markov model in exploiting knowledge content in digital ink: A case study on handwritten music notation recognition},
  author = {Kian Chin Lee and Somnuk Phon-Amnuaisuk and Choo-Yee Ting},
  year = {2010},
  doi = {10.1109/ICME.2010.5583292},
  url = {http://dx.doi.org/10.1109/ICME.2010.5583292},
  tags = {case study, Markov},
  researchr = {https://researchr.org/publication/LeePT10},
  cites = {0},
  citedby = {0},
  pages = {292-297},
  booktitle = {Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, ICME 2010, 19-23 July 2010, Singapore},
  publisher = {IEEE},
}