Corresponding Points through MDL by Dirk-Jan Kroon

Minimum Description Length optimization of PCA model for 2D/3D ASM model building (mdl, minimum description l..., pca)

A=imresize3d(V,scale,tsize,ntype,npad)

AffineGradient2D( UpdateAffine,mappingdata,options)

Alpha=UniformLine(nLandmarks)

Patch Curvature by Dirk-Jan Kroon

Principal, Gaussian and Mean Curvature of triangulated mesh (curvature, gaussian, principal)

[Cmean,Cgaussian,Dir1,Dir2,Lambda1,Lambda2]=patchcurvature(...

subspacea.m by Andrew Knyazev

Angles between subspaces. Canonical correlations. (linear algebra, principal, angle)

subspacea(F,G,A)

Dynamic Pooled Forecasting by Semin Ibisevic

Dynamic combined forecasting and dynamic principal component regression frameworks. (dynamic, pooled, forecasting)

combinefc(y, Yiv, type, theta, q0)

indivfc(X, y, m, rol, lag, distr)

pcafc(X, y, m, J, Zbin, rol, lag, distr)

PCAANGLE by Jøger Hansegård

Estimate the direction of the major axis of two dimensional point data. (linear algebra, angle, direction)

pcaangle(x, y, plotoption)

NIPALS algorithm by MAHE Geoffrey

Principal components analysis. (analysis, nipals, pca)

[Tprinc,Lprinc,pc]=nipals2(tab,nbp)