A new proposal for graph-based image classification using frequent approximate subgraphs

Author:

Morales-González Annette,Acosta-Mendoza Niusvel,Gago-Alonso Andrés,García-Reyes Edel B.,Medina-Pagola José E.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference47 articles.

1. N. Acosta-Mendoza, A. Gago-Alonso, J.E. Medina-Pagola, Clasificación de imágenes utilizando minería de subgrafos frecuentes aproximados, Revista Cubana de Ciencias Informáticas (RCCI), vol. 5, no. 4, 2012.

2. Frequent approximate subgraphs as features for graph-based image classification;Acosta-Mendoza;Knowledge-Based Systems,2012

3. N. Acosta-Mendoza, A. Morales-González, A. Gago-Alonso, E.B. García-Reyes, J.E. Medina-Pagola, Classification using frequent approximate subgraphs, in: Proceedings of the 17th Iberoamerican Congress on Pattern Recognition (CIARP'12), Buenos Aires, Argentina, Springer-Verlag, Berlin, Heidelberg, 2012.

4. C.C. Aggarwal, H. Wang, Graph Data Management and Mining: A Survey of Algorithms and Applications, Managing and Mining Graph Data, Springer-Verlag, New York, 2010.

5. Introduction to combinatorial pyramids;Brun;Digital and Image Geometry,2001

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