stereodisc
Class ANNAccuracy

java.lang.Object
  stereodisc.Analyzer
      stereodisc.ANNAccuracy

Direct Known Subclasses:

ANNMapper, CDRStatistics, Illustrator, ObservationACDRs, ObservationStatistics, ObserverAccuracy, ROC

public class ANNAccuracy
extends Analyzer

Stereo disk photograph analysis. Uses ANN to analyze stereo feature sets. Uses soft classification to determine the ROC curve for one specific set of features. Copyright (c) 1999-2007, Michael Abramoff. All rights reserved.

Constructor Summary

ANNAccuracy()

Method Summary

static void	main(java.lang.String[] args)
static double[]	unitvars(float[][] m, double[] vars, double[] avgs) Make unit variance all elements in m columnwise.
static double[]	zeromeans(float[][] m, double[] avgs) Zeromean all elements in m columnwise.

Methods inherited from class stereodisc.Analyzer

analyzeProbabilities, createPixelSet, loadFeatures, pixelsToDataset, showAccuracies

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ANNAccuracy

public ANNAccuracy()

Method Detail

main

public static void main(java.lang.String[] args)

zeromeans

public static double[] zeromeans(float[][] m,
                                 double[] avgs)
                          throws java.lang.IllegalArgumentException

Zeromean all elements in m columnwise. If avgs != null, use those columnwise averages, otherwise compute columnwise averages of m, and subtract these averages from the elements in each column. Return the used averages.

Parameters:

m - a matrix of float[][] IS MODIFIED!

avgs - a double[] with the averages, null if averages have to be computed.

Throws:

java.lang.IllegalArgumentException

unitvars

public static double[] unitvars(float[][] m,
                                double[] vars,
                                double[] avgs)
                         throws java.lang.IllegalArgumentException

Make unit variance all elements in m columnwise. If vars != null, use those columnwise variances, otherwise compute columnwise variances of m, and divide the elements in each column of m by the square root of these variances

Parameters:

m - a matrix of float[][] IS MODIFIED!

vars - a double[] with the variances, null if these have to be computed.

Throws:

java.lang.IllegalArgumentException