Interactive document retrieval and classification
Abstract:
In this chapter we describe a system for document retrieval and classification following the interactive-pbkp_redictive framework. In particular, the system addresses two different scenarios of document analysis: document classification based on visual appearance and logo detection. These two classical problems of document analysis are formulated following the interactive-pbkp_redictive model, taking the user interaction into account to make easier the process of annotating and labelling the documents. A system implementing this model in a real scenario is presented and analyzed. This system also takes advantage of active learning techniques to speed up the task of labelling the documents.
Año de publicación:
2013
Keywords:
Fuente:
google
Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Ciencias de la computación
Áreas temáticas:
- Funcionamiento de bibliotecas y archivos
- Escuelas y sus actividades; educación especial
- Lingüística