User:Jadrian Miles/Chi-squared clustering: Difference between revisions
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Created page with "This paper brings together two existing projects with two new contributions: * Estimating the distribution of noisy tractography streamlines around a known "true" curve is des..." |
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This paper brings together two existing projects with two new contributions: | This paper brings together two existing projects with two new contributions: | ||
* Estimating the distribution of noisy tractography streamlines around a known "true" curve is described in my ISMRM 2012 submission. | * Estimating the distribution of noisy tractography streamlines around a known "true" curve is described in my ISMRM 2012 submission. | ||
* Curve-to-curve similarity is described in my NIH talk from 2009. Code for this is in <tt>~/gfx/brain_imaging/curveClustering</tt>. | * Curve-to-curve similarity is described in my NIH talk from 2009. Code for this is in <tt>~/gfx/brain_imaging/curveClustering</tt>. The Matlab code was a prototype; the cpp code is a full implementation. | ||
** <tt>curveDistRowClient</tt> computes certain rows of the pairwise distance matrix. This stuff should be rewritten around the <tt>curveCollection</tt> library and checked into <tt>$G</tt>. | |||
** The mean endpoint distance is probably a more appropriate and (computationally and conceptually) lighter-weight measure to use. | |||
* Initialization and merging of curve bundles is new. | * Initialization and merging of curve bundles is new. | ||
* Optimization of the chi-squared reconstruction error is new. | * Optimization of the chi-squared reconstruction error is new. | ||
Latest revision as of 17:43, 23 January 2012
This paper brings together two existing projects with two new contributions:
- Estimating the distribution of noisy tractography streamlines around a known "true" curve is described in my ISMRM 2012 submission.
- Curve-to-curve similarity is described in my NIH talk from 2009. Code for this is in ~/gfx/brain_imaging/curveClustering. The Matlab code was a prototype; the cpp code is a full implementation.
- curveDistRowClient computes certain rows of the pairwise distance matrix. This stuff should be rewritten around the curveCollection library and checked into $G.
- The mean endpoint distance is probably a more appropriate and (computationally and conceptually) lighter-weight measure to use.
- Initialization and merging of curve bundles is new.
- Optimization of the chi-squared reconstruction error is new.