Proposals:Statistics Framework Runtime Vector Size: Difference between revisions

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= Proposed Implementation Plan =
= Proposed Implementation Plan =
This requires removing MeasurementVectorSize as a static method and making it an iVar.


= Proposed Transition Plan =
= Proposed Transition Plan =

Revision as of 20:24, 5 July 2005

Refactoring the Statistics Framework to have Runtime Length

Currently, the Statistics Framework requires the MeasurementVector to have a length defined at compile time.

Rationale for having compile time length

The statistics classes in ITK have MeasurementVectorSize (length of each measurement vector) as a static const value. This has until now been sufficient since typical statistics operations involve sampling an image where the number of measurement vectors is a variable, but the measurement vector size is usually fixed and depends on the dimension of the parametric space.

Rationale for having run time length

For algorithms such as Normalized cuts [1] and other Kernel PCA feature space projection techniques [2], it may be necessary to keep the dimensionality of the feature space as a variable. This requires removing MeasurementVectorSize as a static method and making it an iVar.

[1] PAMI - Vol26, No2, Spectral Grouping using the Nystrom method , Feb 2004

[2] Neural Computation - Nonlinear component analysis as a Kernel Eigenvalue problem, vol 10, 1998

Proposed Implementation Plan

This requires removing MeasurementVectorSize as a static method and making it an iVar.

Proposed Transition Plan