DIC Structural HMM based IWAK-Means to Enclosed Face Data

@article{Alhanjouri2011DICSH,
  title={DIC Structural HMM based IWAK-Means to Enclosed Face Data},
  author={M. Alhanjouri and Hana Hejazi},
  journal={International Journal of Computer Applications},
  year={2011},
  volume={18},
  pages={43-50}
}
paper identifies two novel techniques for face features extraction based on two different multi-resolution analysis tools; the first called curvelet transform while the second is waveatom transform. The resultant features are trained and tested via three improved hidden Markov Model (HMM) classifiers, such as: Structural HMM (SHMM), Deviance Information Criterion- Inverse Weighted Average K-mean-SHMM (DIC-IWAK- SHMM), and Enclosed Model Selection Criterion (EMC) coupled with DIC-IWAK-SHMM as… Expand
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