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

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Sumayyea Salahuddin and Maryam Mahsal Khan",
  title =        "Object categorization using Cartesian Genetic
                 Programming (CGP) and CGP-Evolved Artificial Neural
  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
  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