Combining Model-Based and Discriminative Approaches in a Modular Two-stage Classification System: Application to isolated Handwritten Digit Recognition

@inproceedings{Milgram2009CombiningMA,
  title={Combining Model-Based and Discriminative Approaches in a Modular Two-stage Classification System: Application to isolated Handwritten Digit Recognition},
  author={Jonathan Milgram and Robert Sabourin and Mohamed Cheriet},
  booktitle={Progress in Computer Vision and Image Analysis},
  year={2009}
}
The motivation of this work is based on two key observations. First, the classification algorithms can be separated into two main categories: discriminative and model-based approaches. Second, two types of patterns can generate problems: ambiguous patterns and outliers. While, the first approach tries to minimize the first type of error, but cannot deal effectively with outliers, the second approach, which is based on the development of a model for each class, make the outlier detection… CONTINUE READING

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