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updated 12 hours 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 day 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 2 days ago

Color Object Tracking by Alireza

A color object tracking method based on the object and background colors. (image processing, color, object tracking)

avcol(img,M)

llr(I,Si,Sb,Bin)

map(I,L,So)

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updated 2 days ago

KM-RBF Tracker by Alireza

This code is a Matlab implementation of the Kmeans - Radial Basis Function Neural Networks Tracker (image processing, machine vision, machine learning)

ccent(img,or)

fext(img,or)

gkernel(X,MU,SIGMA,N,k)

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updated 2 days ago

Incremental Discriminative Color Object Tracker (IDCT Tracker) by Alireza

This code is a Matlab implementation of IDCT tracker (tracking, visual tracking, visual object trackin...)

cntd(cnt,or,mi,mp)

llr(I,Ao,Ab,Bin)

map(I,L,At)

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updated 3 days ago

Beta-Bernoulli Classifier by James-Alexandre Goulet

Demonstration example of the Beta-Bernoulli Classifier (machine learning, classification)

BBC_NRGD_component(param,log_lik_fct,prior,data,varargin)

BBC_gaussian_conditionnal(R,obs)

BBC_gaussian_conditionnal_pred(R,obs)

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updated 3 days ago

Radial Basis Function Neural Networks (with parameter selection using K-means) by Alireza

RBF Neural Networks (center and distribution of activation functions are selected using K-means) (neural networks, radial basis function, rbfnn)

Pts

RBFKernel(F,MU,SIGMA,N,k)

rbfn_test(F, W, K, MU, SIGMA)

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updated 4 days ago

RBF Neural Networks with random selection of parameters by Alireza

RBF Neural Networks (center and distribution of activation functions are selected randomly) (image processing, signal processing, mathematics)

Pts

RBFKernel(F,MU,SIGMA,N,k)

rbfn_test(F, W, K, MU, SIGMA)

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updated 6 days 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 6 days 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 7 days ago

k-means, mean-shift and normalized-cut segmentation by Alireza

k-means, mean-shift and normalized-cut segmentation (image processing, machine learning, machine vision)

Km(I,K)

Km2(I,K)

MeanShiftCluster(dataPts,bandWidth,plotFlag)

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updated 7 days ago

K-means segmentation by Alireza

This code implements K-means color segmentation (image processing, segmentation, image segmentation)

Demo.m

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updated 7 days ago

Representation of the 3D joint RGB histogram by Alireza

This code plots a qualitative 3D RGB Histogram (3d representation, 3d histogram, rgb histogram)

Demo.m

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updated 8 days ago

RGB Color Representation by Alireza

RGB Color Representation (rgb, rgb image, rgb color image)

Demo.m

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updated 11 days ago

Simple Linear Classification and Receiver Operating Characteristic Plotting by Benjamin I

A wrapper for matlab functions that provides simple linear classification and ROC plots (machine learning, classification)

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updated 13 days 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 (image processing, image registration, image fusion)

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updated 13 days 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)

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updated 13 days 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)

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updated 13 days ago

Dimensionality Reduction using Generalized Discriminant Analysis (GDA) by Mohammad Haghighat

Generalized Discriminant Analysis - a non-linear feature dimensionality reduction technique (image processing, signal processing, mathematics)

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updated 13 days ago

Physical meaning of Eigen values / Eigen vectors by Alireza

Demo shows a demonstration of eigenvalues / eigenvectors concept (eigen, eigenvalues, eigenvectors)

Demo.m

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updated 14 days ago

vlfeat/vlfeat by Andrea Vedaldi

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

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updated 14 days ago

Graph Agglomerative Clustering (GAC) toolbox by Wei Zhang

Wei Zhang (view profile)

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

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updated 14 days ago

K-means clustering by Alireza

This code implements K-means Clustering (clustering, kmeans, machine learning)

km_fun(F, K, KMI)

Demo.m

Test.m

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updated 17 days 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 17 days ago

SimpleRNN by Hamid E

Hamid E (view profile)

A simple Recurrent Neural Network (RNN). (machine learning, neural networks, recurrent neural netw...)

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updated 17 days ago

johannesu/sherwood-classify-matlab by Johannes

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

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updated 17 days ago

Robust EEG ERP Classification by Sam Nazari

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

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updated 17 days ago

DNNE Learning Algorithm by Monther Alhamdoosh

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

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updated 27 days ago

Generic function and example code for performing LASSO on GLM by Dr. Soumya Banerjee

Generic function and example code for performing LASSO on GLM and using it for prediction (statistics, machine learning, optimization)

call_generic_lasso_glm_predict()

generic_lasso_glm_predict(X,y,str_distribution,str_link_f...

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updated 27 days ago

Generic function and example code for using neural networks by Dr. Soumya Banerjee

Generic function and example code for using neural networks for prediction. (machine learning, classification, statistics)

call_generic_neural_network()

generic_neural_network(X,T,parallel,iNumHidden)

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updated 1 month ago

Generic function for LASSO on logistic regression by Dr. Soumya Banerjee

Generic function and example code for LASSO on logistic regression. (classification, regression, machine learning)

call_generic_lasso_logistic()

generic_lasso_logistic(X,y,str_distribution,num_fold_cros...

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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

Feature-weighted logistic regression, ridge regression, SVM and SVR by Ke Yan

Ke Yan (view profile)

Feature-weighted logistic regression, ridge regression, SVM and SVR (pattern recognition, machine learning)

classf_lr_fw_te(model,Xtest)

classf_lr_fw_tr(X,Y,param)

classf_svm_fw_te(model,Xtest)

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updated 1 month ago

viewboundary by Matt Eicholtz

Show decision boundaries of classification tree in feature space. (machine learning, classification, visualization)

viewboundary(tree,varargin)

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updated 1 month ago

Simple example code and generic function for random forests by Dr. Soumya Banerjee

Simple example code and generic function for random forests (checks out of bag errors) (statistics, mathematics, optimization)

call_generic_random_forests()

generic_random_forests(X,Y,iNumBags,str_method)

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updated 2 months ago

Simple example and generic function to perform PCA by Dr. Soumya Banerjee

Simple example and generic function to perform PCA(principle components analysis) (mathematics, statistics, optimization)

call_function_pca_plot()

function_pca_plot(data_matrix,categories,names)

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updated 2 months ago

Random Walk Using Monte-Carlo Randomized Algorithm by Vadim Smolyakov

Self-Avoiding Random Walk Using Monte-Carlo Randomized Algorithm (machine learning, random, algorithm)

random_walk.m

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updated 3 months ago

Importance Sampling by Vadim Smolyakov

Importance Sampling Example for Estimating Expected Value of a Function (machine learning, integration)

imp_samp.m

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updated 3 months ago

Activity Detection in MATLAB by MathWorks Mobile Sensor Connectivity Team

Files for the activity detection blog post on MakerZone (mobile sensing, matlab mobile, android)

extractFeatures

extractTrainingFeature(fileName, ...

activityDetection.m

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updated 3 months ago

Gibbs Sampler for Ising Model by Vadim Smolyakov

Gibbs Sampler for Ising Model (image processing, machine learning)

mrf.m

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updated 3 months ago

SVM Grid Search by Dian Bahnev

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

CountFunction

CountFunction

check_input_arguments( kernel_function, kernel_function_v...

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updated 3 months ago

Iterative Reweighted Least Squares by Vadim Smolyakov

Iterative Reweighted Least Squares for Logistic Regression (optimization, machine learning)

cummean(x,dim)

irls.m

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updated 3 months ago

GRNN and PNN spread finding by Pavel Paunov

Basic method for optimizing the spread parameter of GRNN and PNN neural networks. (grnn, pnn, neural networks)

SpreadFinderClassification

SpreadFinderRegression

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

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

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 4 months 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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