Classification Techniques in Pattern Recognition

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dc.contributor.author Zheng, Lihong en_US
dc.contributor.author He, Sean en_US
dc.contributor.editor Vaclav Skala en_US
dc.date.accessioned 2010-06-16T05:02:19Z
dc.date.available 2010-06-16T05:02:19Z
dc.date.issued 2005 en_US
dc.identifier 2006006140 en_US
dc.identifier.citation Zheng Lihong and He Xiangjian 2005, 'Classification Techniques in Pattern Recognition', 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 Poster Proceedings, Union Agency - Science Press, Plzen, Czech Republic en_US
dc.identifier.issn 80-903100-8-7 en_US
dc.identifier.other E3 en_US
dc.identifier.uri http://hdl.handle.net/10453/12099
dc.description.abstract In this paper, we review some pattern recognition schemes published in recent years. After giving the general processing steps of pattern recognition, we discuss several methods used for steps of pattern recognition such as Principal Component Analysis (PCA) in feature extraction, Support Vector Machines (SVM) in classification, and so forth. Different kinds of merits are presented and their applications on pattern precognition are given. The objective of this paper is to summarize and compare some of the methods for pattern recognition, and future research issues which need to be resolved and investigated further are given along with the new trends and ideas. en_US
dc.language en_US
dc.publisher Union Agency - Science Press en_US
dc.relation.isbasedon NA en_US
dc.title Classification Techniques in Pattern Recognition en_US
dc.parent 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 Poster Proceedings en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Plzen, Czech Republic en_US
dc.identifier.startpage 77 en_US
dc.identifier.endpage 78 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.for 080109 en_US
dc.personcode 10144691 en_US
dc.personcode 990421 en_US
dc.percentage 40 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision en_US
dc.date.activity 20050131 en_US
dc.location.activity Plzen, Czech Republic en_US
dc.description.keywords Pattern recognition, feature extraction, feature selection, mapping, kernels, support vector machines en_US
dc.staffid 990421 en_US


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