Feature Synthesized EM Algorithm for Image Retrieval
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Li:2008:TOMM,
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author = "Rui Li and Bir Bhanu and Anlei Dong",
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title = "Feature Synthesized EM Algorithm for Image Retrieval",
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journal = "ACM Transactions on Multimedia Computing,
Communications, and Applications",
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year = "2008",
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volume = "4",
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number = "2",
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pages = "10:1--10:24",
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month = may,
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keywords = "genetic algorithms, genetic programming,
Coevolutionary feature synthesis, content-based image
retrieval, expectation maximization, semi-supervised
learning",
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ISSN = "1551-6857",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.3189",
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URL = "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2008/Feature%20synthesized%20EM%20algorithm%20for%20image%20retrieval08.pdf",
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URL = "http://doi.acm.org/10.1145/1352012.1352014",
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DOI = "doi:10.1145/1352012.1352014",
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acmid = "1352014",
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publisher = "ACM",
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abstract = "As a commonly used unsupervised learning algorithm in
Content-Based Image Retrieval (CBIR),
Expectation-Maximization (EM) algorithm has several
limitations, including the curse of dimensionality and
the convergence at a local maximum. In this article, we
propose a novel learning approach, namely
Coevolutionary Feature Synthesised
Expectation-Maximization (CFS-EM), to address the above
problems. The CFS-EM is a hybrid of coevolutionary
genetic programming (CGP) and EM algorithm applied on
partially labelled data. CFS-EM is especially suitable
for image retrieval because the images can be searched
in the synthesized low-dimensional feature space, while
a kernel-based method has to make classification
computation in the original high-dimensional space.
Experiments on real image databases show that CFS-EM
outperforms Radial Basis Function Support Vector
Machine (RBF-SVM), CGP, Discriminant-EM (D-EM) and
Transductive-SVM (TSVM) in the sense of classification
performance and it is computationally more efficient
than RBF-SVM in the query phase.",
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notes = "Replaces \cite{Li:2005:MULTIMEDIA} Also known as
\cite{Li:2008:FSE:1352012.1352014}",
- }
Genetic Programming entries for
Rui Li
Bir Bhanu
Anlei Dong
Citations