Combining Model-based and Discriminative Approaches in a Modular Two-stage Classification System: Application to Isolated Handwritten Digit Recognition
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 tri...
Main Authors: | Jonathan Milgram, Robert Sabourin, Mohamed Cheriet |
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Format: | Article |
Language: | English |
Published: |
Computer Vision Center Press
2005-10-01
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Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
Subjects: | |
Online Access: | https://elcvia.cvc.uab.es/article/view/92 |
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