| Texto completo | |
| Autor(es): |
Santos, Carlos S.
;
Hirata, Nina S. T.
;
Hirata, Roberto
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PATTERN RECOGNITION LETTERS; v. 31, n. 4, p. 10-pg., 2010-03-01. |
| Resumo | |
The design of translation invariant and locally defined binary image operators over large windows is made difficult by decreased statistical precision and increased training time. We present a complete framework for the application of stacked design, a recently proposed technique to create two-stage operators that circumvents that difficulty. We propose a novel algorithm, based on Information Theory, to find groups of pixels that should be used together to predict the Output Value. We employ this algorithm to automate the process of creating a set of first-level operators that are later combined in a global operator. We also propose a principled way to guide this combination, by using feature selection and model comparison. Experimental results Show that the proposed framework leads to better results than single stage design. (C) 2009 Elsevier B.V. All rights reserved. (AU) | |
| Processo FAPESP: | 04/11586-7 - Combinacao de classificadores. |
| Beneficiário: | Nina Sumiko Tomita Hirata |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 05/04614-7 - Técnicas de classificação no diagnóstico cardíaco baseado em quantificação de movimento de imagens de medicina nuclear |
| Beneficiário: | Carlos da Silva dos Santos |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |