Object categorization using Cartesian Genetic Programming (CGP) and CGP-Evolved Artificial Neural Network

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Salahuddin:2010:ICCAIE,

• author = "Sumayyea Salahuddin and Maryam Mahsal Khan",
• title = "Object categorization using Cartesian Genetic Programming (CGP) and CGP-Evolved Artificial Neural Network",
• booktitle = "2010 International Conference on Computer Applications and Industrial Electronics (ICCAIE)",
• year = "2010",
• month = "5-8 " # dec,
• pages = "191--196",
• abstract = "In this paper, we address the problem of recognising object categories by proposing a learning model based on evolutionary algorithm that takes unsegmented, complex images which is tolerant to 2D affine transformations such as scaling and translation in the image plane and 3D transformations of an object such as illumination changes and rotation in depth. To achieve this, first object features are extracted from an image using modified Bag of Keypoints model and then learning and classification is performed through evolutionary network classifiers i.e. Cartesian Genetic Programming (CGP) and Cartesian Genetic Programming Evolved Artificial Neural Network (CG-PANN). Our empirical evaluations show that proposed network classifiers exhibit outstanding ability of learning from fewer training examples with good accuracy. Results are compared with NEAT-Evolved Artificial Neural Network classifier which shows clearly that our network classifiers outperform and generalise better than NEAT.",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, CGP-evolved artificial neural network, NEAT-evolved artificial neural network classifier, affine transformations, evolutionary algorithm, evolutionary network classifiers, image plane, learning model, modified bag of keypoints model, object categorisation, object feature extraction, feature extraction, image classification, neural nets, object recognition, transforms",
• DOI = "doi:10.1109/ICCAIE.2010.5735073",
• notes = "Dept. of Comput. Syst. Eng., Univ. of Eng. & Technol., Peshawar, Pakistan Also known as \cite{5735073}",

}

Genetic Programming entries for Sumayyea Salahuddin Maryam Mahsal Khan

Citations