Using the RRT algorithm to optimize classification systems for handwritten digits and letters

Authors:
Paulo V. W. Radtke;Robert Sabourin;Tony Wong
Affiliations:
Pontifícia Universidade, Curitiba, PR, Brazil;École de Technologie, Montrél, QC, Canada;École de Technologie, Montrél, QC, Canada
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

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Abstract

Multi-objective genetic algorithms have been often used to optimize classification systems, but little is discussed on their computational cost to solve such problems. This paper optimizes a classification system with an annealing based approach, the Record-to-Record Travel algorithm. Results obtained are compared to those obtained with a multi-objective genetic algorithm in the same approach. Experiments are performed with isolated handwritten digits and uppercase letters, demonstrating both the effectiveness and lower computational cost of the annealing based approach.