One Class Classification Using Implicit Polynomial Surface Fitting

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16th International Conference on Pattern Recognition (ICPR'02) - Volume 2

Quebec City, QC, Canada

August 11-August 15

ISBN: 0-7695-1695-X

	ASCII Text	x
	Aytül Erçil, Burak Büke, "One Class Classification Using Implicit Polynomial Surface Fitting," Pattern Recognition, International Conference on, vol. 2, pp. 20152, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002.

	BibTex	x
	@article{ 10.1109/ICPR.2002.1048260, author = {Aytül Erçil and Burak Büke}, title = {One Class Classification Using Implicit Polynomial Surface Fitting}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2002}, issn = {1051-4651}, pages = {20152}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048260}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - One Class Classification Using Implicit Polynomial Surface Fitting SN - 1051-4651 SP EP A1 - Aytül Erçil, A1 - Burak Büke, PY - 2002 KW - null VL - 2 JA - Pattern Recognition, International Conference on ER -

Aytül Erçil, Sabanci University

Burak Büke, Bogazici University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048260

When the number of objects in the training set is too small for the number of features used, most classification procedures cannot find good classification boundaries. In this paper, we introduce a new technique to solve the one class classification problem based on fitting an implicit polynomial surface to the point cloud of features to model the one class which we are trying to separate from the others.

Citation:

Aytül Erçil, Burak Büke, "One Class Classification Using Implicit Polynomial Surface Fitting," icpr, vol. 2, pp.20152, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002

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