Sciweavers

Share
SAC
2008
ACM

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

8 years 8 months ago
Using the RRT algorithm to optimize classification systems for handwritten digits and letters
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-toRecord 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. Keywords local search, RRT algorithm, classification systems, ensemble of classifiers
Paulo Vinicius Wolski Radtke, Robert Sabourin, Ton
Added 28 Dec 2010
Updated 28 Dec 2010
Type Journal
Year 2008
Where SAC
Authors Paulo Vinicius Wolski Radtke, Robert Sabourin, Tony Wong
Comments (0)
books