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One Class Classification using Implicit Polynomial Surface Fitting
Authors: Ercil, A., Buke, B
Published in: Proceedings of ICPR '2002
Publication year: 2002
Abstract: 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.

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