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updated 18 hours ago

ADASYN by Dominic Siedhoff

ADASYN algorithm to reduce class imbalance by synthesizing minority class examples (adasyn, smote, class balance)

ADASYN(in_features, in_labels, in_beta, in_kDensity, in_k...

demo_ADASYN.m

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updated 8 days ago

Pattern Recognition Toolbox by Peter

Peter (view profile)

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

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updated 9 days ago

Machine Learning Made Easy by Shashank Prasanna

MATLAB files from the webinar (machine learning, classification learne..., classification)

Human Activity Learning Using Mobile Phone Data

CarFinderLive(trainedClassifier,bag)

CarFinderLiveCompare(trainedClassifier1,trainedClassifier...

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updated 10 days ago

johannesu/sherwood-classify-matlab by Johannes

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

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updated 23 days ago

huashiyiqike/LSTM_MATLAB by Qi Lyu

Qi Lyu (view profile)

LSTM_MATLAB is meant to be succinct, illustrative and for research purpose only. (optimization, algorithm, machine learning)

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updated 26 days ago

Using Weka in Matlab by Sunghoon Lee

An efficient interface to use Weka in MATLAB (machine learning)

classifier_example()

clustering_example()

costSensitiveClassifier_example()

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updated 28 days ago

Reduced Basis Decomposition by Yanlai Chen

Employing a greedy algorithm, RBD approximates the column space of a matrix X faster than SVD does. (matrix decomposition, dimension reduction, machine learning)

RBD(data, tol, col, NormMat, StartingVec)

Test_Data.m

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updated 1 month ago

Streaming Face Detection, Training, Recognition by Brett Shoelson

Brett Shoelson (view profile)

Demonstrates live acquisition, detection, training, and recognition of faces! (face recognition, face detection, machine learning)

streamingFaceRecognition.m

createMontage(cellArrayOfImages,varargin)

linewrap(s, maxchars)

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updated 1 month ago

Multiclass SVM classifier by Tarek Lajnef

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

Best_feature(mat,label,sigma)

Classify_DSVM(test_data,label,svmstruct,level)

FWSP_SVM(data,label,sigma,nb_cvfolds)

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updated 1 month ago

Kernel Ridge Regression in Matlab by Joseph Santarcangelo

Kernel Ridge Regression (mathematics, signal processing, machine learning)

GetTrainValidateTest(NumberSamples,NumberTraining,NumberV...

PolynomialExpertToyData()

KernelRidgeRegression

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updated 1 month ago

Code for Webinar "Signal Processing for Machine Learning" by Gabriele Bunkheila

MATLAB Code from example used in the Webinar "Signal Processing for Machine Learning" (signal processing, spectral analysis, machine learning)

addActivityLegend(mode)

bwlabels1(x)

bwnumregions1(x)

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updated 1 month ago

Polynomial Fit Using Batch Gradient Descent by Sarunas Girdenas

Function fits polynomial of desired order using batch gradient algorithm (machine learning, gradient descent, polynomial)

cost_f(X,y,theta)

fit_polyn(data,alpha_le,degree)

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updated 1 month ago

dcorr( X, Y ) by Paolo Inglese

Distance correlation (correlation, distance, classification)

dcorr( X, Y )

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updated 1 month ago

Discriminant Diffusion Maps Analysis by David Huang

Demo of discriminant diffusion maps analysis (DDMA) on a 3D three-arm spiral data set (feature fusion, manifold learning, diffusion maps)

ddma(dat, lab, neigen, gamma, t, neighbor)

demo.m

gen_spir_3d.m

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updated 1 month ago

Lynx MATLAB Toolbox by Simone

Simone (view profile)

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

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updated 1 month ago

Data Analytics with MATLAB Webinar Files by Adam Filion

Adam Filion (view profile)

Demo Files from Data Analytics with MATLAB Webinar (machine learning, data import, data cleaning)

WeatherAggFcn(ds,stntbl)

mape(testY, pred)

removeSpikes(y,np,lt,ut)

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updated 1 month ago

Grey Wolf Optimizer for Training Multi-Layer Perceptrons by Seyedali Mirjalili

The submission employs the recently proposed Grey Wolf Optimizer for training Multi-Layer Perceptron (neural networks, grey wolf optimizer, optimizatoin)

GWO(SearchAgents_no,Max_iter,lb,ub,dim,fobj)

MLP_Iris(solution)

My_FNN(Ino,Hno,Ono,W,B,x1,x2,x3,x4)

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updated 2 months ago

stefano-galelli/MATLAB_IterativeInputSelection by Stefano Galelli

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

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updated 3 months ago

Multi-Focus Image Fusion for Visual Sensor Networks in DCT Domain by 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 3 months ago

Gabor Wavelets by 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 3 months ago

Multi-Focus Image Fusion in DCT Domain by 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 3 months ago

Gabor Feature Extraction by 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 3 months ago

Deep Neural Network by 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 3 months ago

Fastfood kernel expansions by Ji Zhao

Ji Zhao (view profile)

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 3 months ago

Fast multivariate relevance vector regression by 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 3 months ago

Data Normalization and Standardization by Joseph Santarcangelo

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

StatisticalNormaliz(X,Type)

main.m

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updated 3 months ago

vlfeat/vlfeat by Andrea Vedaldi

Andrea Vedaldi (view profile)

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

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updated 3 months ago

rtaormina/MATLAB_ExtraTrees by Riccardo Taormina

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

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updated 4 months ago

latent dirichlet allocation by Vadim Smolyakov

latent dirichlet allocation (machine learning, statistics)

LDA(A,K)

dirrnd(aa)

generate_data()

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updated 4 months ago

non-negative matrix factorization by Vadim Smolyakov

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

dirrnd(aa)

generate_data()

nnmf_topic(A,K)

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updated 4 months ago

density estimator by Vadim Smolyakov

gaussian density estimator (machine learning, biotech)

density_est.m

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updated 4 months ago

Simple example and generic function for kmeans clustering by Soumya Banerjee

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

kmeans_generic

call_kmeans()

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updated 4 months ago

Extract Rotated Patch from Image by Tian Cao

Tian Cao (view profile)

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 4 months ago

Simple example and generic function for SVM binary classifier by 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 5 months ago

Machine Learning for Mining & Metals by 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 5 months ago

Cobra toolbox for feature selection by Tofigh

Tofigh (view profile)

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 5 months ago

Expectation Maximization Algorithm.zip by 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 5 months ago

libPLS_1.95.zip by 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 5 months ago

Dynamic Time Warping (DTW) by Quan Wang

Quan Wang (view profile)

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 5 months ago

Regression with Gradient Descent by Shujaat Khan

Shujaat Khan (view profile)

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 5 months ago

Random Data Classification by 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 6 months ago

PCA Based Face Recognition System Using ORL Database by Shujaat Khan

Shujaat Khan (view profile)

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 7 months ago

Support Vector Regression by Ronnie Clark

Ronnie Clark (view profile)

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 8 months ago

Label Consistent Fisher Vectors (LCFV) by Quan Wang

Quan Wang (view profile)

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 8 months ago

Kernel PCA and Pre-Image Reconstruction by Quan Wang

Quan Wang (view profile)

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 8 months ago

adaboost classification demo by Kang Wang

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

adaboostDemo

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updated 9 months ago

Error Correcting Output Codes (ECOC) Classifier by 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 9 months ago

True Positives, False Positives, True Negatives, False Negatives from 2 Matrices by 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 9 months ago

Intravascular Near-Infrared Fluorescence (iNIRF) Imaging by 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 9 months ago

Viterbi Algorithm by Jason Joseph Rebello

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

Viterbi.m

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