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updated 8 hours ago

johannesu/sherwood-classify-matlab by Johannes

Johannes

MATLAB wrapper for classification using sherwood. (machine learning, classification)

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updated 1 day ago

Multi-Focus Image Fusion for Visual Sensor Networks in DCT Domain by Mohammad Haghighat

Mohammad Haghighat

Simulation of two multi-focus image fusion methods in DCT domain: 1.DCT+Variance 2.DCT+Variance+CV (book database, clock database, pepsi database)

dctVarFusion(im1, im2)

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updated 1 day ago

Gabor Wavelets by Mohammad Haghighat

Mohammad Haghighat

This program generates a custom Gabor filter bank; and extracts the image features using them. (image processing, computer vision, pattern recognition)

gaborFeatures(img,gaborArray,d1,d2)

gaborFilterBank(u,v,m,n)

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updated 1 day ago

Multi-Focus Image Fusion in DCT Domain by Mohammad Haghighat

Mohammad Haghighat

Simulation of two multifocus image fusion methods: 1.DCT+Variance 2.DCT+Variance+CV (dct domain, image fusion, multifocus)

dctVarFusion(im1, im2)

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updated 1 day ago

Gabor Feature Extraction by Mohammad Haghighat

Mohammad Haghighat

This program generates a custom Gabor filter bank; and extracts the image features using them. (gabor, image processing, computer vision)

gaborFeatures(img,gaborArray,d1,d2)

gaborFilterBank(u,v,m,n)

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updated 2 days ago

Pattern Recognition Toolbox by Peter

Peter

  • 1 file
  • 178 downloads
  • 4.66667

Free pattern recognition toolbox for MATLAB (machine learning, pattern recognition, svm)

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updated 3 days ago

Deep Neural Network by Masayuki Tanaka

Masayuki Tanaka

It provides deep learning tools of deep belief networks (DBNs). (machine learning)

CalcErrorRate( dbn, IN, OUT )

CalcRmse( dbn, IN, OUT )

GetDroppedDBN(dbn, DropOutRate, strbm)

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updated 8 days ago

Fastfood kernel expansions by Ji Zhao

Ji Zhao

Code for paper: Fastfood - Approximating Kernel Expansions in Loglinear Time, ICML'13. (machine learning, classification, pattern recognition)

FastfoodForKernel(X, para, sgm, use_spiral)

FastfoodPara(n, d)

demo.m

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updated 9 days ago

Fast multivariate relevance vector regression by Youngmin Ha

Youngmin Ha

Multivariate (multi-output) nonlinear regression (machine learning)

fmrvr(Phi, T, maxIters, tolerance)

mrvr(Phi, T, maxIters, tolerance)

sbl_kernelFunction(X1,X2,kernel_,lenscal)

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updated 16 days ago

Data Normalization and Standardization by Joseph Santarcangelo

Joseph Santarcangelo

Normalization and Standardization of data (statistics, machine learning, standard)

StatisticalNormaliz(X,Type)

main.m

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updated 16 days ago

vlfeat/vlfeat by Andrea Vedaldi

Andrea Vedaldi

An open library of computer vision algorithms (computer vision, machine learning, object recognition)

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updated 17 days ago

rtaormina/MATLAB_ExtraTrees by Riccardo Taormina

Riccardo Taormina

MATLAB implementation of Extremely Randomized Trees (Extra-Trees) (machine learning, supervised learning, regression trees)

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updated 17 days ago

Lynx MATLAB Toolbox by Simone

Simone

A toolbox for the design of complex machine learning experiments (machine learning, neural networks, support vector machin...)

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updated 18 days ago

Multiclass SVM classifier by Tarek Lajnef

Tarek Lajnef

Train and perform multiclasses SVM classifier (classification, signal processing, dendrogram)

Best_feature(mat,label,sigma)

Classify_DSVM(test_data,label,svmstruct)

FWSP_SVM(data,label,sigma,nb_cvfolds)

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updated 1 month ago

latent dirichlet allocation by Vadim Smolyakov

Vadim Smolyakov

latent dirichlet allocation (machine learning, statistics)

LDA(A,K)

dirrnd(aa)

generate_data()

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updated 1 month ago

non-negative matrix factorization by Vadim Smolyakov

Vadim Smolyakov

non-negative matrix factorization (machine learning, linear algebra)

dirrnd(aa)

generate_data()

nnmf_topic(A,K)

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updated 1 month ago

density estimator by Vadim Smolyakov

Vadim Smolyakov

gaussian density estimator (machine learning, biotech)

density_est.m

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updated 1 month ago

Simple example and generic function for kmeans clustering by Soumya Banerjee

Soumya Banerjee

Simple generic function and example to perform kmeans clustering (clustering, machine learning, mathematics)

kmeans_generic

call_kmeans()

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updated 1 month ago

Classification Learner by MathWorks Classification Learner Team

Prototype app being developed by MathWorks to train classifiers using supervised machine learning (app, apps, gui)

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updated 1 month ago

Extract Rotated Patch from Image by Tian Cao

Tian Cao

extract a rotated patch from image (image processing, machine learning, rotate)

extractRotatedPatch(img, center, width, height, angle)

demo_rotatedpatch.m

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updated 1 month ago

Simple example and generic function for SVM binary classifier by Soumya Banerjee

Soumya Banerjee

Simple generic function that takes two labelled classes and trains SVM classifier. (classification, machine learning, optimization)

svm_classifier

svm_call

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updated 2 months ago

Machine Learning for Mining & Metals by David Willingham

David Willingham

2 examples for Machine Learning for Mining, Regression & Classification (machine learning, metals, mining)

plotFitErrors.m

plotFitErrors.m

Rsquared(Y, YHat )

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updated 3 months ago

Cobra toolbox for feature selection by Tofigh

Tofigh

Cobra toolbox contains feature selection algorithms based on mutual information. (feature selection, machine learning, statistics)

Q_const(X,C,mrmr)

backward_elimination(beta,Q)

cobra_machine(Q,beta)

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updated 3 months ago

Expectation Maximization Algorithm.zip by Sultan Alzahrani

Sultan Alzahrani

Implementation of Expectation Maximization Algorithm (em ml, statistics, machine learning)

ComputeLogLiklihood(x,means,converiances,liklihood)

E_Step(x,liklihood,means,converiances)

GaussianMixtureLearning(x,means,converiances,k,r)

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updated 3 months ago

libPLS_1.95.zip by Hongdong Li

Hongdong Li

libPLS: An Integrated Library of Partial Least Squares Regression and Discriminant Analysis (signal processing, statistics, modeling)

irf.m

plsnipals.m

axisrange(x)

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updated 3 months ago

Dynamic Time Warping (DTW) by Quan Wang

Quan Wang

This package implements Dynamic Time Warping (DTW). (signal processing, machine learning, time series)

dtw(s,t,w)

demo_dtw.m

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updated 3 months ago

Regression with Gradient Descent by Shujaat Khan

Shujaat Khan

Regression with Gradient Descent; A coefficient finding technique for the desired system model (regression, descent gradient, machine learning)

Arbitary.m

Exp_Pred.m

Linear_Pred.m

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updated 3 months ago

Random Data Classification by Etienne Combrisson

Etienne Combrisson

Create and classify random data sets (signal processing, classification, random)

ClassifyLDA(x,y,cross_type,cross_nb,rep)

StatTh(y,alpham)

StatThInv(y,DA)

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updated 3 months ago

Cascade Trainer: Specify Ground Truth, Train a Detector by Brett Shoelson

Brett Shoelson

Interactively specify rectangular ROIs in a list of images and build new cascade classifiers. (object detection, cascade training gui, ground truth)

Cascade Trainer

addROI(varargin)

cascadeTrainer(varargin)

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updated 3 months ago

PCA Based Face Recognition System Using ORL Database by Shujaat Khan

Shujaat Khan

This Package implements 'Eigenface' PCA based face recognition technique. (appearance based face..., eigenface, face recognition)

CDT(ns,DatabasePath,ff,escImages)

Comparision()

Graphs()

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updated 4 months ago

Support Vector Regression by Ronnie Clark

Ronnie Clark

A MATLAB implementation of Support Vector Regression (SVR). (regression, nonlinear, machine learning)

svr_trainer(xdata,ydata, c, epsilon, kernel, varargin)

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updated 5 months ago

stefano-galelli/MATLAB_IterativeInputSelection by Stefano Galelli

Stefano Galelli

MatLab implementation of the Iterative Input Selection (IIS) algorithm. (machine learning, feature selection, input selection)

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updated 5 months ago

Label Consistent Fisher Vectors (LCFV) by Quan Wang

Quan Wang

LCFV is a method to add supervised information to Fisher vectors (machine learning, pattern recognition, compressed sensing)

M=solve_LCFV2(G,C,alpha)

[M,W]=solve_LCFV1(G,C,alpha)

cholcov2(Sigma)

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updated 5 months ago

Kernel PCA and Pre-Image Reconstruction by Quan Wang

Quan Wang

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

D=distanceMatrix(X)

K=kernel(X,type,para)

K=kernel_NewData(Y,X,type,para)

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updated 6 months ago

adaboost classification demo by Kang Wang

Kang Wang

A demo present 2D points classification by AdaBoost-M1 (adaboost, boosting, classification)

adaboostDemo

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updated 6 months ago

Error Correcting Output Codes (ECOC) Classifier by Nima Hatami

Nima Hatami

Error Correcting Output Codes (ECOC) for multi-class classification. (machine learning, classification, computer vision)

PP=densrand(c)

PP=sparserand(c)

[D,DD]=ecoc_hamming(P);

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updated 6 months ago

True Positives, False Positives, True Negatives, False Negatives from 2 Matrices by Jason Joseph Rebello

Jason Joseph Rebello

Returns TP, FP, TN, FN given 2 matrices populated with 1's and 0's (machine learning, true positives, false positives)

calError(trueMat, predictedMat)

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updated 6 months ago

Intravascular Near-Infrared Fluorescence (iNIRF) Imaging by Sam Nazari

Sam Nazari

MATLAB based matched filter is implemented for an iNIRF imaging method (detection, machine learning, signal processing)

[sigma,mu,A]=mygaussfit(x,y,h)

attenuationRadiusRegression(manualSelectFlag,polyFitN)

findOptimalWidth(onlyFirstN,showWhich,templateSignalStats)

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updated 6 months ago

Viterbi Algorithm by Jason Joseph Rebello

Jason Joseph Rebello

Predicts most probable state sequence given observations (machine learning, viterbi algorithm, state sequence predic...)

Viterbi.m

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updated 6 months ago

Linear Regression with Multiple Variables by Jason Joseph Rebello

Jason Joseph Rebello

Linear regression (housing prices, linear regression, multiple variables)

NormalEquation(XNormEqn,y)

cost(X,y,theta)

featureNormalize(X)

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updated 6 months ago

Logistic Regression with regularization used to classify hand written digits by Jason Joseph Rebello

Jason Joseph Rebello

Classification of handwritten digits (classification, handwritten digits, logistic regression)

LRClassifier(X, y, numLabels, lambda)

cost(theta, X, y, lambda)

displayData(X, example_width)

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updated 6 months ago

K Means Algorithm with the application to image compression by Jason Joseph Rebello

Jason Joseph Rebello

This program uses the K means clustering algorithm to group the pixels in an image for compression (clustering, computer vision, image compression)

computeCost(X, idx, centroids, K)

computeNewCentroids(X, idx, K)

displayImage(I, XCompressed, K)

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updated 6 months ago

PCA.zip by Jason Joseph Rebello

Jason Joseph Rebello

PCA : reduce features used in face recognition (face recognition, machine learning, pca)

displayData(X, example_width)

findK(S, variance)

normalizeFeatures(X)

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updated 7 months ago

Robust EEG ERP Classification by Sam Nazari

Sam Nazari

EEG brain activity classification (classification, detection, machine learning)

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updated 7 months ago

DNNE Learning Algorithm by Monther Alhamdoosh

Monther Alhamdoosh

MATLAB Code for DNNE Learning Algorithm (ensemble learning, machine learning, neural networks)

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updated 8 months ago

Particle Swarm Optimization (Vectorized Code) by Reza Ahmadzadeh

Reza Ahmadzadeh

a simple implementation of Particle Swarm Optimization algorithm (PSO) (pso, particle swarm, swarm intelligence)

VPSO.m

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updated 8 months ago

Machine_learning_PRTools.zip by Jigar Gada

Jigar Gada

A systematic way of using the functions of PR Tools has been created. (machine learning, pattern classificatio..., pattern recognition)

SVM_local(str,Tr,Deg,C,crossVal,N_folds,N_times)

data_normalization(str,Tr,Test, Testf)

dimension_reduction(str,Tr, Test, Testf,k)

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updated 8 months ago

SentenceParseNew.m by Samyukta Ramnath

Samyukta Ramnath

The Main File which uses and calls all other functions (machine learning)

SentenceParseNew.m

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updated 8 months ago

K-Fold Cross Validation by Mat Labber

Mat Labber

K-Fold Cross Validation for Binary Classification, using LibSVM (machine learning, crossvalidation, kfold)

get_classification_rate(sa,na,svmstruct)

kfold_cross_validate(sa,na,which_features,k)

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updated 8 months ago

FDA LDA multiclass by Sultan Alzahrani

Sultan Alzahrani

Linear discriminant analysis or Fisher's linear discriminant (machine learning, statistics, information theory)

FDA(X,Y,r)

testScript.m

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