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updated 3 months 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 4 months ago

A benchmark software for multivariate statistical process control by GIEM

GUI tutorial for understanding the PCA-based MSPC strategy (multivariate statisti..., principal component a..., multivariate control ...)

CreateFeedSignal(tSim,tSample,type,initialValue,ChangeRat...

InterpTemp(t,x,u,flag)

MSPC_SPE(varargin)

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updated 4 months ago

Fast SVD and PCA by Vipin Vijayan

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 7 months ago

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

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 7 months 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 8 months ago

Face recognition using PCA by Baba Dash

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

[recognized_img]=facerecog(datapath,testimg)

face_recognition.m

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updated 1 year ago

Principal Component Analysis (PCA) by Jason Rebello

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 1 year 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 1 year ago

Direct LDA and PCA+LDA by Vipin Vijayan

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 almost 2 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 2 years ago

Multilinear Principal Component Analysis (MPCA) by Haiping Lu

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

MPCA(TX,gndTX,testQ,maxK)

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

[GaitDBDir,probes,numprobe]=testData

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updated 2 years ago

Fast Adaptive Coordinate Descent for Non-linear Optimization by Ilya

Fast Adaptive Coordinate Descent for Large- scale (D>>100) Non-linear Optimization (optimization, global optimization, principal component a...)

ACD(strfitnessfct,N,X_a,X_b,MAX_EVAL,stopfitness,howOften...

f=cigar(x, ar)

f=fcigtab(x)

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updated 2 years ago

Uncorrelated Multilinear Principal Component Analysis (UMPCA) by Haiping Lu

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 2 years ago

The PhD face recognition toolbox by Vitomir Struc

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

compute_kernel_matrix_PhD.m

construct_Gabor_filters_PhD.m

evaluate_results_PhD.m

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updated 2 years ago

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

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

A=imresize3d(V,scale,tsize,ntype,npad)

AAM_2D_example.m

AAM_3D_train_example.m

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updated 4 years ago

PCA (Principial Component Analysis) by Andreas

Principal Component Analysis Implementation of LindsaySmithPCA.pdf (pca, principal component a..., optimization)

pcafunc(struktur, dim)

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updated almost 5 years ago

Principal Component Analysis: A Simulink Block by Dan Lluch

Principal component analysis of a matrix done within Simulink. (statistics, probability, principal component a...)

PCA_example

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updated 5 years ago

Principal Component Analysis (PCA) in MATLAB by Siamak Faridani

This is a demonstration of how one can use PCA to classify a 2D data set. (pca, principal component a..., classification)

pca.m

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updated 7 years ago

Face Recognition by Ali Behboodian

Face recognition using eigenface system (application, pca, face recognition)

out=load_database();

face_recognition.m

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