Uses of Class
Facemorph.BigMatException

Packages that use BigMatException

Facemorph
Facemorph.psm
Facemorph.tensor

Uses of BigMatException in Facemorph

Methods in Facemorph that throw BigMatException

void	BigMat.add(BigMat mat) Adds mat to this
BigMat	Gaussian.getCovar(boolean invert) Uses the eigenvalues and eigenvectors to reconstruct the covariance matrix or it inverse
FloatImage[][]	PCI.getIntersection(PCI pci, MaskInterface mask) Gets the intersection or closest point between two PCIs
static void	Gaussian.main(java.lang.String[] args) Used for testing
static void	Kalman.main(java.lang.String[] args) Main method used for testing
BigMat	BigMat.multiply(BigMat m) Multiply this matrix by another matrix
double[]	BigMat.multiply(double[] x) Multiply a vector by this matrix
BigMat	BigMat.multiplyOtherTranspose(BigMat m) Multiply the this matrix by the transpose of another matrix
BigMat	BigMat.multiplyTranspose(BigMat m) Multiply this matrix by another matrix
double[]	Kalman.predict() Method to predict the expected value at the next time point
double	Gaussian.probability(double[] sample) Calculates the probability of a sample vector
void	Gaussian.setSize(int dim) Sets the size of this Gaussian
void	BigMat.setSize(int x, int y) Set the size of this matrix
Gaussian	Gaussian.slice(double[] sample, double[] weight) Takes a slice through the Gaussian, to produce a new Gaussian first "fixed" elements are fixed remaining elements of the Gaussian are used in the new Gaussian
void	BigMat.subtractInPlace(BigMat mat) Subtracts mat to this
BigMat	BigMat.svbksbt(double[] w, BigMat V, BigMat A, double threshold) SVD back substitution routine (transposed)
double	Gaussian.T_squared(Gaussian g, double weight1, double weight2) Hotelling's T^2 statistic (the N-D t-test equivalent)
double[]	Kalman.update(double[] z) Update the estimate and model in light of the new observation z

Uses of BigMatException in Facemorph.psm

Methods in Facemorph.psm that throw BigMatException

double

DiagonalGaussian.probability(double[] sample) Calculates the probability of a sample vector

Uses of BigMatException in Facemorph.tensor

Methods in Facemorph.tensor that throw BigMatException

static Multilinear	Multilinear.getImageMultilinear(int[] dims, java.util.Vector<java.awt.Image> images, double maxvar) Get a multilinear model from a set of images
static Multilinear	Multilinear.getTemplateMultilinear(int[] dims, java.util.Vector<Template> templates, double maxvar) Get a MultiLinear object from the Templates
static void	Multilinear.main(java.lang.String[] args) Main method for testing
Tensor	Tensor.multiply(int i, BigMat M) multiply method for N-mode product with M along row i
void	Tensor.multiplyInPlace(int i, BigMat M) multiply method for N-mode product with M along row i
double[]	Multilinear.reconstruct(double[][] params) Reconstruct from parameters
static void	Multilinear.testLinear(java.lang.String[] args) Test of linear building method

Constructors in Facemorph.tensor that throw BigMatException

Multilinear(Tensor T, int dataDim, double maxvar)
Creates a new instance of Multilinear Performs PCA along each of the plane average vectors Replace residuals with best linear fit etc etc