The Use of Hidden Markov Models for Image Recognition: Learning with Artificial Ants, Genetic Algorithms and Particle Swarm Optimization
Sébastien Aupetit, Nicolas Monmarché, Mohamed Slimane · 2009
This chapter contains sections titled: Introduction Hidden Markov models (HMMs) Using metaheuristics to learn HMMs Description, parameter setting and evaluation of the six approaches that are used to train HMMs Conclusion Bibliography