Multi-class classification of objects in images using principal component analysis and genetic programming
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gp-bibliography.bib Revision:1.8081
- @InProceedings{Ribeiro:2015:LA-CCI,
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author = "Manasses Ribeiro and Heitor Silverio Lopes",
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booktitle = "2015 Latin America Congress on Computational
Intelligence (LA-CCI)",
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title = "Multi-class classification of objects in images using
principal component analysis and genetic programming",
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year = "2015",
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abstract = "This work presents a methodology for using Principal
Component Analysis (PCA) and Genetic Programming (GP)
for the classification of multi-class objects found in
digital images. The image classification process is
performed by using features extracted from images,
through feature extraction algorithms, reduced by PCA
and labelled by similarity comparing with other
previously classified objects. GP uses two sets of
elements: terminals, composed by the features extracted
by PCA; and non-terminals, composed by algebraic
operations. The fitness function was defined by the
product of sensibility and specificity, two performance
measures. A penalty term is also used to decrease the
number of nodes of the tree, while minimally affecting
the quality of solutions. The proposed approach was
applied to set of 2739 digital images divided into
objects representing airplanes, motorbikes, background
from google, faces and watch classes, provided by the
Caltech101 image database. The proposed approach was
compared with SVM, Naive Bayes and C4.5. Results
suggest that the approach PCA+GP is able to evolve
solutions for the problem as a simple classification
rule with true positive rate above 70percent.
Additionally, we observe that PCA+PG obtained results
slightly better than SVM and C4.5, besides these
methods give a result that is not comprehensible by
humans.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/LA-CCI.2015.7435982",
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month = oct,
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notes = "Also known as \cite{7435982}",
- }
Genetic Programming entries for
Manasses Ribeiro
Heitor Silverio Lopes
Citations