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Efficient Parallel Feature Selection for Steganography Problems
dc.contributor.author | Guillén, Alberto | |
dc.contributor.author | Rojas Ruiz, Ignacio | |
dc.date.accessioned | 2022-11-11T09:10:44Z | |
dc.date.available | 2022-11-11T09:10:44Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Published version: Guillén, A... [et al.] (2009). Efficient Parallel Feature Selection for Steganography Problems. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. [https://doi.org/10.1007/978-3-642-02478-8_153] | es_ES |
dc.identifier.uri | https://hdl.handle.net/10481/77911 | |
dc.description.abstract | The steganography problem consists of the identification of images hiding a secret message, which cannot be seen by visual inspection. This problem is nowadays becoming more and more important since the World Wide Web contains a large amount of images, which may be carrying a secret message. Therefore, the task is to design a classifier, which is able to separate the genuine images from the non-genuine ones. However, the main obstacle is that there is a large number of variables extracted from each image and the high dimensionality makes the feature selection mandatory in order to design an accurate classifier. This paper presents a new efficient parallel feature selection algorithm based on the Forward-Backward Selection algorithm. The results will show how the parallel implementation allows to obtain better subsets of features that allow the classifiers to be more accurate. | es_ES |
dc.description.sponsorship | TIN2007-60587, P07-TIC-02768 and P07-TIC-02906,TIC-3928 | es_ES |
dc.description.sponsorship | Nokia Foundation, Finland | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Inteligencia artificial | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.title | Efficient Parallel Feature Selection for Steganography Problems | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/submittedVersion | es_ES |