Morphologically Unbiased Classifier Combination through Graphical PDF Correlation

Authors:
David Windridge;Josef Kittler
Affiliations:
-;-
Venue:
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2002

Citing 6
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Abstract

We reinterpret the morphologically unbiased 'tomographic' method of multiple classifier combination developed previously by the authors as a methodology for graphical PDF correlation. That is, the original procedure for eliminating what are effectively the back-projection artifacts implicit in any linear feature-space combination regime is shown to be replicable by a piecewise morphology matching process. Implementing this alternative methodology computationally permits a several orders-of-magnitude reduction in the complexity of the problem, such that the method falls within practical feasibility even for very high dimensionality problems, as well as resulting in a more intuitive description of the process in graphical terms.