A generative-discriminative hybrid for sequential data classification [image classification example]

@article{AbouMoustafa2004AGH,
  title={A generative-discriminative hybrid for sequential data classification [image classification example]},
  author={Karim T. Abou-Moustafa and Ching Y. Suen and Mohamed Cheriet},
  journal={2004 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  year={2004},
  volume={5},
  pages={V-805}
}
Classification of sequential data using discriminative models such as support vector machines is very hard due to the variable length of this type of data. On the other hand, generative models such as HMMs have become the standard tool for representing sequential data due to their efficiency. This paper proposes a general generative-discriminative framework that uses HMMs to map the variable length sequential data into a fixed size P-dimensional vector (likelihood score) that can be easily… CONTINUE READING

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