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updated 6 days ago

Feature fusion using Discriminant Correlation Analysis (DCA) by Mohammad Haghighat

Feature fusion using Discriminant Correlation Analysis (DCA) (image processing, signal processing, computer vision)

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updated 20 days ago

Supervised Dimension Reduction by Gen Li

Gen Li (view profile)

Tools for dimension reduction with auxiliary information (generalization of PCA) (supervised learning, pca, dimension reduction)

SupPCA(Y,X,r)

SupSFPCA(Y,X,r,paramstruct)

example.m

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updated 29 days ago

Kernel Methods Toolbox by Steven Van Vaerenbergh

A MATLAB toolbox for nonlinear signal processing and machine learning (kernel methods, kernel principal comp..., pca)

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updated 1 month ago

Probabilistic PCA and Factor Analysis by Mo Chen

Mo Chen (view profile)

EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction. (machine learning, pca, dimensional reduction)

fa(X, m)

pca(X, m)

pcaEm(X, m)

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updated 3 months ago

Brain MRI Tumor Detection and Classification by Manu BN

Manu BN (view profile)

A Matlab code for Brain MRI Tumor Detection and Classification (image processing, brain mri tumor, segmentation)

BrainMRI_GUI(varargin)

crossfun(xtrain,ytrain,xtest,rbf_sigma,boxconstraint)

crossfun(xtrain,ytrain,xtest,rbf_sigma,boxconstraint)

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updated 4 months ago

Feature fusion using Canonical Correlation Analysis (CCA) by Mohammad Haghighat

Feature level fusion using Canonical Correlation Analysis (CCA) (image processing, signal processing, statistics)

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updated 6 months ago

Face Recognition using PCA by Alaa Eleyan

Alaa Eleyan (view profile)

Program for Face Recognition problem using PCA (pca, face recognition, image processing)

PCA_FR.m

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updated 6 months ago

WriteLike by Tomer Behor

Helps you write like your favorite author (tf, idf, pca)

onTimerCallback(corpus,tt,lengthi,appear,TF)

Visualization_project_8_Final.m

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updated 7 months ago

Biplot by Groups by Ines Isidro

Biplot function that can plot scores in multiple groups with different formats (biplot, pca, groups)

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updated 9 months ago

amjams/spca_am by Ahmad Alsahaf

Sparse Principal Component Analysis using Alternating Maximization (spca, pca, modeling)

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updated 9 months ago

Robust EEG ERP Classification by Sam Nazari

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

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updated 1 year 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 1 year ago

PCA based face recognition by Gholamreza (Shahab) Anbarjafari

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

PCA_Face_Recognition.m

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updated 1 year ago

randomized Singular Value Decomposition by Antoine Liutkus

Extremely fast computation of truncated SVD (svd, randomized, fast)

rsvd(A,K)

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updated 1 year ago

Ranking based Face Recognition by Natrajan

Face recognition finds its application in various modern technological advances. (pca, face recognition)

facerecog(varargin)

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updated 1 year 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)

PCA(X,d)

distanceMatrix(X)

drawFaceModel(x)

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updated 1 year ago

pca_ellipse.zip by junbai wang

PCA quality control ellipse (pca, quality control ellip...)

marray_AFishF(p,n1,n2)

marray_FishF(f,n1,n2)

marray_StatCom(q,i,j,b)

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updated almost 2 years ago

PCA.zip by 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 almost 2 years ago

Principal Component Analysis for large feature and small observation by Kim Xu

Kim Xu (view profile)

This file is PCA for large feature. (pca)

PCA_alter(X)

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updated almost 2 years ago

Correlation based dynamic time warping of multivariate time series by Janos Abonyi

Janos Abonyi (view profile)

Combines DTW and PCA based similarity measures. (dtw, pca, multivariate time ser...)

dtwpca.m

pcaresid.m

spca.m

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updated almost 2 years ago

Fast SVD and PCA by Vipin Vijayan

Vipin Vijayan (view profile)

Fast truncated SVD and PCA rectangular matrices (singular value decomp..., svd, principal component a...)

pcaecon(X,k)

pcasecon(X,k)

svdecon(X)

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updated almost 2 years ago

pca_exercise.zip by Tiep Vu

Tiep Vu (view profile)

PCA implementation tutorial (pca)

display_network(A, opt_normalize, opt_graycolor, cols, op...

sampleIMAGESRAW

pca_gen.m

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updated 2 years ago

Directional Discrete Cosine Transform and Principal Component Analysis based Image Fusion by VPS Naidu

VPS Naidu (view profile)

Image fusion by DDCT and PCA: A hybrid imafe fusion algorithm (image fusion, image processing, pca)

DDCT.m

DDCTIFav.m

DDCTIFek.m

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updated 2 years ago

Noise Level Estimation by Ashish Meshram (Meet)

Single Image Estimate Noise Level (noise level estimatio..., patch, weak texture)

GetFilePath()

NLEstimate(I,ps,maxiter)

directder(H, rps, cps)

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updated 2 years ago

eigenfaces algorithm by michael scheinfeild

project faces to eigen faces for face detection (computer vision, eigenfaces, pca)

eigenFacesmatlab.m

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updated 2 years ago

Face recognition using PCA by Baba Dash

Baba Dash (view profile)

Principal Component Analysis for Face Recognition (pca, face recognition, principal component a...)

facerecog(datapath,testimg)

face_recognition.m

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updated 2 years ago

EMPCA by Vicente Parot

Expectation-Maximization Principal Component Analysis (pca, expectation maximizat..., gpu)

empca(a, ncomps, emtol, maxiters)

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updated 2 years ago

Display SIFT in 2D by Konda Reddy Mopuri

This function displays the 128 dimensional un-normalized SIFT data in 2D using PCA. (visualize sift, pca, display sift)

display_SIFT(sift,COEF,start,new_fig)

fvecs_read

Demo.m

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updated 2 years ago

Parallel Analysis (PA) to for determining the number of components to retain from PCA. by Hanan Shteingart

component is retained if the associated eigenvalue is bigger than the 95th of the distribution of ei (pca)

pa_test.m

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updated almost 3 years ago

Principal Component Analysis (PCA) by Jason Rebello

Jason Rebello (view profile)

PCA : reduce features used in face recognition (pca, principal component a..., svd)

displayData(X, example_width)

findK(S, variance)

normalizeFeatures(X)

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updated almost 3 years ago

PCA by Devinder

Devinder (view profile)

this implements the PCA algorithm. User can choose/input the no.of features in the reduced Dataset. (pca, computer vision, image processing)

featureNormalize(X)

pca(X,n)

main.m

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updated almost 3 years ago

Nipals algorithm for Principle Component Analysis by Qiaonan Duan

This function is written largely based on nipals function from R chemometrics package. (nipals, principal component a..., pca)

nipals(X,a,it,tol )

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updated 3 years ago

Direct LDA and PCA+LDA by Vipin Vijayan

Vipin Vijayan (view profile)

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 )

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updated 3 years ago

Total Least Squares Method by Ivo Petras

Ivo Petras (view profile)

Mathematical method known as total least squares or orthogonal regression or error-in-variables. (total least squares, orthogonal regression, errorinvariables)

corrindex(XData, YData, YDataM, par_number)

dist_dsearch(points,M,graph)

distance_nD(Point1, Point2)

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updated 3 years ago

thumbnailScatter.m puts thumbnails over datapoints for better visualization by Derya

Derya (view profile)

Helps you visualize patterns in your data. (visualization, pca, gui)

thumbnailScatter(dataX,dataY,thumbnailPath)

demo_scatterThumbnail.m

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updated 3 years ago

SimpleScores by Giuseppe Elia

Plots the PCA scores using the princomp(X) function. Loads files direct from .csv. (scores, pca, data analysis)

SimpleScores(varargin)

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updated 3 years ago

principal_component_analysis_forAnImage by raviteja nellore

principal component analysis applied to an image (pca, principal component a...)

pca_img.m

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updated 3 years ago

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 )

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updated almost 4 years ago

Multilinear Principal Component Analysis (MPCA) by Haiping Lu

Haiping Lu (view profile)

The codes implement two algorithms: Multilinear Principal Component Analysis (MPCA) and MPCA+LDA. (image processing, video processing, dimensionality reduct...)

MADAll(fea_Train,gnd_Train,fea_Test,gnd_Test,testDims,wgts)

MPCA(TX,gndTX,testQ,maxK)

MPCALDA(TX,gndTX,MPCADADim,testQ,maxK)

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updated almost 4 years ago

KL Transform (Karhunen–Loève Theorem) by debasish

debasish (view profile)

a simple code that performs KL transform. (image processing, image transform, pca)

assignment5_klt.m

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updated almost 4 years ago

Corresponding Points through MDL by Dirk-Jan Kroon

Dirk-Jan Kroon (view profile)

Minimum Description Length optimization of PCA model for 2D/3D ASM model building (mdl, minimum description l..., pca)

fminlbfgs.m

AffineGradient2D( UpdateAffine,mappingdata,options)

AlphaGradient1D( UpdateLineAlpha,mappingdata,options,sigma)

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updated 4 years ago

American Sign Language Detection using PCA and LDA by Neeraj

Neeraj (view profile)

Provides scripts for testing the two algorithms as well as testing real time input. (american sign languag..., pca, lda)

preprocessing.m

PCATraining.m

ASLfisher(ImgMat,V_PCA,nRows,nColumns,omega,Class_number,...

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updated 4 years ago

Uncorrelated Multilinear Principal Component Analysis (UMPCA) by Haiping Lu

Haiping Lu (view profile)

The codes implement the Uncorrelated Multilinear Principal Component Analysis (UMPCA) algorithm. (dimensionality reduct..., feature extraction, image processing)

UMPCA(TX,numP)

maxeig(A)

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updated 4 years ago

The PhD face recognition toolbox by Vitomir Struc

Useful functions for face recognition research. (face recognition, image processing, biometrics)

resize_pc_comps_PhD.m

register_face_based_on_eyes.m

nn_classification_PhD.m

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updated 4 years ago

Active Shape Model (ASM) and Active Appearance Model (AAM) by Dirk-Jan Kroon

Dirk-Jan Kroon (view profile)

Cootes 2D/3D Active Shape & Appearance Model for automatic image object segmentation and recognition (asm, active shape model, active shape)

ASM_3D_train_example.m

ASM_2D_example.m

AAM_2D_example.m

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updated 4 years ago

Nonlinear fuzzy robust pca by Pasi Luukka

Implementation of a nonlinear fuzzy robust pca. (pca, fuzzy, chemometrics)

nfrpca(x,LV,method)

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updated 4 years ago

Orthogonal Linear Regression in 3D-space by using Principal Components Analysis by Ivo Petras

Ivo Petras (view profile)

Orthogonal Linear Regression by using PCA (statistics, probability, total least squares)

fit_3D_data(XData, YData, ZData, geometry, visualization,...

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updated 4 years ago

Feature Analysis by Iftekhar Tanveer

This program analyzes an arff file (weka) (pca, lda, feature selection)

LDA.m

FeatureAnalysis.m

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updated 5 years ago

PCA based image fusion by VPS Naidu

VPS Naidu (view profile)

Image fusion is done using principal component analysis (pca, image fusion)

PCAimfuse_demo.m

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updated 5 years ago

CDF for Tracy-Widom (TW1) Distribution by Christopher Carr

Table of CDF for Beta=1 TW. (largest eigenvalue, pca, statistics)

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