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updated 1 day ago

Gridsearch for LibSVM library by Pavel Paunov

Gridsearch for the LibSVM support vector machine library. (svm, machine learning, gridsearch)

Gridsearch

MatrixToVector

VectorToMatrix

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updated 5 days ago

2D Image cepstral analysis by Pavel Paunov

Two dimensional cepstral spectrum. (image processing, signal processing, machine learning)

MakeCepstrum

demo.m

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updated 10 days ago

Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial by ted p teng

ted p teng (view profile)

A tutorial on detection of retinal vessels by Gabor transform and machine learning (pattern recognition, vessel segmentaion, machine learning)

Gabor_GLM_FEX.m

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updated 11 days ago

SVM Grid Search Apps by mizuki

mizuki (view profile)

SVM grid search Apps (machine learning, svm)

GridSearchApps_en

GridSearchApps_jp

GridSearch_gui_en.m

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updated 13 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 15 days ago

Deep Learning Toolbox by Rasmus Berg Palm

Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets and more. With examples. (machine learning, deep learning, autoencoder)

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updated 16 days ago

Outlier-robust extreme learning machine for regression problems by Kai Zhang

Kai Zhang (view profile)

An extension of extreme learning machine (ELM). (noise, signal processing, mathematics)

ALM_Solve_ORELM(A, b, C, maxIter)

elm_predict(TP,TT,InputWeight, BiasofHiddenNeurons, Outpu...

elm_train_main(InputWeight,BiasofHiddenNeurons,P,T, C,met...

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updated 18 days ago

Demo files for "What's New for Image Processing and Computer Vision R2015a" Webinar by Tohru Kikawada

The demo files for "What's New for Image Processing and Computer Vision R2015a" Japanese Webinar (image processing, computer vision, machine learning)

myimfcn(im)

gaussian3DFilter.m

segGeoDesic.m

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updated 18 days ago

SVM Grid Search by Dian Bahnev

Performing grid search for SVM, using the default Matlab toolbox. (svm, grid search, machine learning)

CountFunction

check_input_arguments( kernel_function, kernel_function_v...

compute_error_result( quess_data, real_data, SVM_array, S...

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updated 19 days ago

Data Standardization by Pavel Paunov

Standardize data in desired dimension (statistics, machine learning)

Standard(matrixIn, dim, CMean, CStd)

demo.m

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updated 25 days 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 29 days ago

Multilayer Backpropagation Neural Network by Asad Ali

Asad Ali (view profile)

Implementation of the Multilayer Backpropagation Neural Network (neural networks, backpropagation, multilayer backpropag...)

DefinePattern()

MLBPN_Test.m

MLBPN_Train.m

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updated 1 month ago

Kraskov entropy ver. 2 by Paolo Inglese

Optimized version of Kraskov entropy estimator based on k-nearest neighbours distance. (classification, clustering, entropy)

KraskovEntropyV2.m

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updated 1 month ago

Kraskov entropy by Paolo Inglese

Kraskov entropy estimator based on k-nearest neighbours distance. (information theory, entropy, machine learning)

KraskovEntropy.m

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updated 1 month ago

Deep Neural Network by Masayuki Tanaka

Masayuki Tanaka (view profile)

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 1 month ago

Plant Disease Classification by Manu BN

Manu BN (view profile)

A Matlab code to classify the type of disease using SVM (plant disease analysi..., classification, machine learning)

Classify.m

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updated 1 month ago

ADASYN (improves class balance, extension of SMOTE) 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 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

Using Weka in Matlab by Sunghoon Lee

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

classifier_example()

clustering_example()

costSensitiveClassifier_example()

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updated 1 month 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 1 month 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 1 month ago

johannesu/sherwood-classify-matlab by Johannes

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

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updated 2 months 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 3 months 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 3 months 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 3 months 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 3 months 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 3 months ago

dcorr( X, Y ) by Paolo Inglese

Distance correlation (correlation, distance, classification)

dcorr( X, Y )

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updated 3 months 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 3 months 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 3 months 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 4 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 4 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 4 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 4 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 4 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 4 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 4 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 5 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 5 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 5 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 5 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 5 months ago

density estimator by Vadim Smolyakov

gaussian density estimator (machine learning, biotech)

density_est.m

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updated 6 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 6 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 6 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 6 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 7 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 7 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 7 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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