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...

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Bibliographic Details
Main Authors: Jonathan Milgram, Robert Sabourin, Mohamed Cheriet
Format: Article
Language:English
Published: Computer Vision Center Press 2005-10-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
Online Access:https://elcvia.cvc.uab.es/article/view/92