Efficient Multidimensional Scaling (MDS) by Quan Wang

The is the source code of iterated Levenberg-Marquardt algorithm (ILMA) for solving MDS (mathematics, optimization, pattern recognition)

CM=confusion_matrix_reorder(CM)

[X, total_cost]=MDS_training(Dist,d,iter,strategy,display_f...

[X2]=MDS_encoding(X1,Dist,display_flag)

Direct LDA and PCA+LDA by Vipin Vijayan

Implementation of LDA, Direct LDA and PCA+LDA. See description for details. (linear discriminant a..., lda, fischers linear discr...)

directlda(X,y,k,method,m)

directlda_demo

fld(X, L, n, crit, qrf, r, e, M )

Kernel PCA and Pre-Image Reconstruction by Quan Wang

standard PCA, Gaussian kernel PCA, polynomial kernel PCA, pre-image reconstruction (signal processing, large data, dimension reduction)

K=kernel(X,type,para)

Y=PCA(X,d)

[Y, eigVector, para]=kPCA(X,d,type,para)

HMRF-EM-image by Quan Wang

Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm (markov random field, expectationmaximizati..., image segmentation)

BoundMirrorExpand(A)

BoundMirrorShrink(A)

[X mu sigma]=HMRF_EM(X,Y,Z,mu,sigma,k,EM_iter,MAP_iter)

GMM-HMRF by Quan Wang

GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation (image processing, optimization, pattern recognition)

BoundMirrorExpand(A)

BoundMirrorShrink(A)

GMM=get_GMM(X,Y,g)

Binary decision tree by Quan Wang

This software implements binary decision tree classifier in Matlab. (image processing, pattern recognition, machine learning)

T=create01Tree(X,label,Depth,Splits,MinNode)

T=get01Tree(k,T,X,label,Depth,Splits,MinNode)

[d c]=index2depth(k)

Fischer Linear Dicriminant Analysis by Sergios Petridis

find the discriminative susbspace for samples using fischer linear dicriminant analysis (statistics, machine learning, pattern recognition)

fld(X, L, n, crit, qrf, r, e, M )

Active geometric shape models by Quan Wang

The active geometric shape model is a novel approach for fitting a geometric shape in images. (shape model, image processing, optimization)

BoundMirrorEnsure(A)

BoundMirrorExpand(A)

BoundMirrorShrink(A)

Feature selector based on genetic algorithms and information theory. by Oswaldo Ludwig

The algorithm performs the combinatorial optimization by using Genetic Algorithms. (information theory, genetic algorithms, mutual information)

H=entropia2(X,resolucao)

[Hx,Hy,MIxy,MIxx]=statistics(X,y)

[Selected]=GA_feature_selector(feat_numb,X,y)

Graph Agglomerative Clustering (GAC) toolbox by Wei Zhang

Graph Degree Linkage: Agglomerative Clustering on a Directed Graph. ECCV 2012. (clustering, statistics, data exploration)

gacBuildDigraph_c(distance_matrix, K, a)

gacBuildLlinks_cwarpper(distance_matrix, p, NNIndex)

gacFindKcCluster (affinityTab, Kc)

Decision Trees and Predictive Models with cross-validation and ROC analysis plot by Andrea Padoan

This code implements a classification tree and plots the ROC curves for each target class (classification tree, classification, decision tree)

BestTree (t, X, y, nsamples)

CalculateFeaturesImportance.m

CalculateOutcomeGroups (y)

Support Vector Neural Network (SVNN) by Oswaldo Ludwig

A new training method for MLP neural networks based on the same principles of SVM. (machine learning, svm, maximummargin princip...)

SVNN.m

[acc,estimated]=sim_NN(W1,W2,b1,b2,X,t)

PaReLab by danny yang

Pattern recognition lab, an image classification toolbox using Knn classifier and corss-validation. (image retrieval, image annotation, pattern recognition)

...

...

AdaptUbm(UBM, x_tv, avoid_non_psd, max_iters, error_thres)

A probabilistic model of classifier competence by Tomasz Woloszynski

Classifier competence based on full vector of class supports and probabilistic modelling. (competence, probabilistic modelin..., ensemble)

ccprmod(d,j,varargin)

Fast Null Linear Discriminant Analysis by Alok

This is the fast implementation of Null LDA method. [W,CPU_TIME]=FNLDA(Data,ClassLabel) (linear discriminant a..., null lda, fast nlda)

FNLDA(Data, Class)

FEATURE EXTRACTION FOR CHARACTER RECOGNITION by Dinesh Dileep Gaurav

EXTRACTS FEATURE VECTORS FROM SINGLE CHARACTER IMAGES (feature extraction, geometric, english character)

[discoursed]=discourser(image);

[features]=feature_extractor(image);

[features]=feature_extractor_2d(image);

The PhD face recognition toolbox by Vitomir Struc

Useful functions for face recognition research. (epc curve, kpca, kfa)

compute_kernel_matrix_PhD.m

construct_Gabor_filters_PhD.m

evaluate_results_PhD.m

Pattern recognition by Mansi Bansal

It is the basic theory of pattern recognition. (pattern recognition)

MultiClass LDA by Darko Juric

Performs multiclass linear discriminant analysis. (classifier, data mining, multiclasslda)

LDA

LDA_Demo.m

Bayes classification for 2D Gaussian distributions by Edward Wiggin

Draw Bayes classification results for 2D Gauss. distributions, return func. handles of N post. prob. (bayes, gaussian distribution, 2d)

drawBayesGauss2D(mu,c,prProb,ax)

Pegasos - Primal Estimated sub-Gradient SOlver for SVM by nitin thokare

This is implementation of "Pegasos-Primal Estimated sub-Gradient SOlver for SVM" paper. (pegasos, primal estimated subg..., svm)

pegasos(X,Y,lamda,k,maxIter,Tolerance)

supervised NPE(neighborhood preserving embedding) subspace for dimension reduction by Edward Wiggin

compute the supervised NPE(neighborhood preserving embedding) subspace for dimension reduction. (npe, supervised, subspace)

train_snpe( ft,IDs )

Least squares fit of a rectangle to a given shape/boundary by Onkar Raut

A simple method for fitting of bounding rectangle to closed regions (rectangle, fit, least squares)

fit_rectangle(boundary_points)

Information loss of the Mahalanobis distance in high dimensions: Matlab implementation by Dimitrios Ververidis

Information loss estimation to set a lower limit on classification rate. (pattern recognition, gaussian methods, feature selection)

CalcInfoLoss(D, N, Crossval_OR_Resub)

Chi2CdfCustom(x, d)

FactorGamma(A,B,C)

Point Pattern Matching Algorithm for Hand Gesture / American Sign Language (ASL) Recognition by Caglar Arslan

A demonstration of American Sign Language recognition by using a Point Pattern Matching Algorithm. (american sign languag..., computer vision, pattern recognition)

Selecteds=findMax(results,depth);

appendimages(image1, image2)

hgr(input);

LDA: Linear Discriminant Analysis by Will Dwinnell

Performs linear discriminant analysis. (linear discriminant, linear discriminant a..., pattern recognition)

LDA(Input,Target,Priors)

Mahalanobis Distance by Kardi Teknomo

Return mahalanobis distance of two data matrices A and B (row = object, column = feature) (mahalanobis distance, statistics, data mining)

d=MahalanobisDistance(A, B)

generalized fuzzy Hough transform by Pau Micó

Fuzzy version of the generalized Hough transform (hough transform, biomedical images, pattern recognition)

cedge(E, ln)

click(I, varargin)

gfht(src, patt, rhorange, thetarange, kwidth, varargin)

Radon-Like Features by Ritwik Kumar

Radon-Like Features can be used for image segmentation and classification. (image processing, segmentation, classification)

F=makeBarFilters(sup, or, sc)

getEdgeFeatures(im, sup, sc, or)

radonLikeFeaturesDemo.m

create text matrix by Avishalom

takes a string, returns a matrix of 1s and 0s. text string is 'painted' by 1s on a background of 0s (handwriting, graphics, neural networks)

createtext (txt)

Rosenblatt's Perceptron by Ibraheem Al-Dhamari

A very simple Neural Networks example. (classification, svm, perceptron)

MyPerecptronExample

[w,b,pass]=PerecptronTrn(x,y);

e=PerecptronTst(x,y,w,b);

PCA based face recognition by Gholamreza (Shahab) Anbarjafari

This code is PCA base face recognition programme. (classification, face recognition, pca)

PCA_Face_Recognition.m

DeltaRule by Will Dwinnell

Trains a single artificial neuron using the delta rule. (neural, neural net, neural network)

DeltaRule(X,Y,LearningRate,MinimumWeightChange,MaximumPasse...

Logistic(Input)

Min/Max filter by Bruno Luong

Multidimensional non-linear min/max filtering (running min, minmax filter, dilatation)

KramerBruckner(A, window)

benchminmax()

minmaxfilt(A, window, outtype, shape)

myCNN by Nikolay Chumerin

myCNN is a Matlab implementation of convolutional neural network (CNN). (convolutional neural ..., pattern recognition, ocr)

Orthogonal Quadratic Discriminant Fuctions by Suicheng Gu

A new quadratic discriminant fuction (pattern recognition, classifier, quadratic discriminan...)

[total,Evector]=OQDF_M(tr,trl,te,tel,gamma)

[total,ml]=NC(tr,trl,te,tel)

[total]=OQDF_E(tr,trl,te,tel,gamma)

Principal Component Analysis for Large Matrix by Richang Hong

This function will occupy large storage space during running time. (pca large matrix, pattern recognition, machine learning)

LPCA(strFileName,odim,ndim)

Circular Hough Trasform in Polar Domain by Prakash Manandhar

Detects center (xc, yc) and radius R of circle in an image in the polar domain. (image processing, hough transform, circle detection)

HghCircle (f, theta_index_exclude)

2DLDA PK LDA for feature extraction by zhizheng Liang

A comparision of 2DLDA and LDA (application, feature extraction, 2dlda)

ADM1(TrainSet,TrainLabel,TestSet,TestLabel, R,L,r,c,mm)

ADM2(TrainSet,TrainLabel,TestSet,TestLabel, R,r,c,mm)

FeatureVector=LDA2D(X,ClassNumber,Xlabel,Height, Width)

Neural Network for pattern recognition- Tutorial by Alaa Eleyan

simple 3 class recognition using back propagation neural networks (3 class, application, example)

NN_tutorial.m

Bhattacharyya Distance Measure for Pattern Recognition by Yi Cao

A Tool to calculate the Bhattacharyya Distance Measure for Pattern Recognition (bhattacharyya distanc..., pattern recognition, bayes error)

d=bhattacharyya(X1,X2)

Histogram-based class separability measure by Theodoros Giannakopoulos

The provided functions demonstrate a histogram-based measure for class separability, given the sampl (statistics, probability, class separability)

computeHistError(Data1, Data2)

testClassSeperability(N,MEAN1,STD1,MEAN2,STD2, PLOT)

theoreticalError(m1, s1, m2, s2)

Statistical Learning Toolbox by Dahua Lin

Functions for statistical learning, pattern recognition and computer vision, covering many topics. (classification, statistical learning, pattern recognition)

annsearch(X0, X, k, varargin)

edl_batchexp(expfun, scrpath, env, logger, filter, runopt)

edl_buildiidxdict(S, idxfn)

Walsh Transform(1D) by Ahmad Poursaberi

The function implements the 1D Walash Transform. (transforms, walsh transform, 1d)

walsh1d(I);

Two-Category Classifier by kirit patel

Obtain optimal decision boundary. (statistics, probability, discriminant)

Discriminant(varargin)

bnorm(mu, covar, range, n)

disc2class(normden1, normden2, prior1, prior2, range, n)