Active Shape Model (ASM) and Active Appearance Model (AAM) by Dirk-Jan Kroon

Cootes 2D/3D Active Shape & Appearance Model for automatic image object segmentation and recognition (2d, active appearance mod..., active shape model)

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

AAM_2D_example.m

AAM_3D_train_example.m

Shape Context Based Corresponding Point Models by Dirk-Jan Kroon

Shape Context based nonrigid registration of 2D/3D objects, to build Active Shape Models (icp, contour, 3d)

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

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

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

Rprop by Roberto Calandra

Rprop training for Artificial Neural Networks (machine learning, rprop, nn)

Demo_Rprop_1(batch)

Demo_Rprop_2(batch)

RNN.MSE(inputs,targets)

rnnsimv2.zip by Hossam Abdelbaki

Contains a number of m-files for training and evaluation of the random neural network (fuzzy logic, neural networks, training)

Initialize_Weights()

etract_name(Name)

load_net_file(File_Name)

rnnsim.zip by Hossam Abdelbaki

The program can be used in training and testing the Random Neural Network(RNN) models. (fuzzy logic, neural networks, training)

about_nn()

demo_nn()

draw_nn()