HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components

Simon Günter, Horst Bunke. HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components. Pattern Recognition, 37(10):2069-2079, 2004. [doi]

@article{GunterB04,
  title = {HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components},
  author = {Simon Günter and Horst Bunke},
  year = {2004},
  doi = {10.1016/j.patcog.2004.04.006},
  url = {http://dx.doi.org/10.1016/j.patcog.2004.04.006},
  tags = {optimization, rule-based},
  researchr = {https://researchr.org/publication/GunterB04},
  cites = {0},
  citedby = {0},
  journal = {Pattern Recognition},
  volume = {37},
  number = {10},
  pages = {2069-2079},
}