Evolving Synthetic Data Generating Programs for Text Recognition Tasks - Evolving a Diverse Population of SyntheticData Generators using Genetic Programming with Novelty Search for Robust Text Recognition Models

Dissertation presented as partial requirement for obtaining the Master’s degree in Data Science and Advanced Analytics

Detalhes bibliográficos
Autor principal: Cooper, Daniel (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2021
Assuntos:
Texto completo:http://hdl.handle.net/10362/114827
País:Portugal
Oai:oai:run.unl.pt:10362/114827
Descrição
Resumo:Dissertation presented as partial requirement for obtaining the Master’s degree in Data Science and Advanced Analytics