Cooperación de perceptores multicapa y regresión contraída para la estimación de iluminantes
In this paper we introduce an original cooperative approach for illuminant estimation; it takes advantage from two learning ma¬chines: Artificial neural networks and Ridge Regression. The paper exposes theoretical and practical background and methodology for implementation and experiments. Results a...
- Autores:
-
Gómez G., Edwin Octavio
Loaiza, Humberto
Caicedo, Eduardo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2007
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- spa
- OAI Identifier:
- oai:red.uao.edu.co:10614/244
- Acceso en línea:
- http://hdl.handle.net/10614/244
- Palabra clave:
- Procesamiento digital de imágenes
Color
Redes neurales (Computadores)
Máquinas de aprendizaje
Aprendizaje automático (Inteligencia artificial)
Machine learning
Image processing - Digital techniques
Neural networks (Computer science)
Inteligencia artificial
- Rights
- openAccess
- License
- Derechos Reservados - Universidad Autónoma de Occidente
| Summary: | In this paper we introduce an original cooperative approach for illuminant estimation; it takes advantage from two learning ma¬chines: Artificial neural networks and Ridge Regression. The paper exposes theoretical and practical background and methodology for implementation and experiments. Results about the exploration of general conditions and param¬eters show the advantages for our approach. |
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