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updated 11 days ago

Kernel-Based Mixture of Experts Models For Linear Regression by Joseph Santarcangelo

Joseph Santarcangelo

Kernel-Based Mixture of Experts Models For Linear Regression (kernel, mixture of experts, linear regression)

SupervisedMixtureofExpertsParametricTrain.m

GetTrainValidateTest(NumberSamples,NumberTraining,NumberV...

KernalMixtureTrain( X,K,Target,Lables)

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updated 3 months ago

h-coefficient by Michael

Michael

Generate MC simulated peristimulus time histograms and calculate their h-coefficient (simulation, peristimulus time his..., kernel)

expsim(duration,nstims,percent,noisefreq,noiseamp,xdata,s...

hcoeff(peristim,rawdata,mfr,nstims,rsp,fast)

Doitall.m

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updated 9 months ago

Retouching Depth of Field using Depth based Selective Gaussian Blurring by S Mukherjee and R Guddeti by Subhayan Mukherjee

Altering the depth of field of an image based on a supplied depth map and user's depths of interest. (blur, gaussian, depth of field)

depth_blur(im_src, depth_map, depth_focus, blur_rate)

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updated 11 months ago

LOWESS differentiation by Robert

Robert

LOWESS smoothing and differentiation with NaN/Inf handling and different weight functions (lowess, smoothing, differentiation)

lowessDifferentiation( t , y , varargin )

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updated 1 year ago

Kernel Density Estimation by Hideaki Shimazaki

Hideaki Shimazaki

Fast kernel density estimation with an automatic bandwidth selection. (statistics, kernel, bandwidth)

sskernel(x,tin,W)

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updated 1 year ago

Locally Adaptive Kernel Density Estimation by Hideaki Shimazaki

Hideaki Shimazaki

Kernel density estimation with bandwidths locally adapted to data. (statistics, bandwidth, kernel)

sshist(x,N)

sskernel(x,tin,W)

ssvkernel(x,tin)

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updated almost 2 years ago

Sobel filter of predefined size by Jan Motl

Jan Motl

The function returns Sobel filter of predefined size. (image processing, edge, sobel)

sobelkernel(size, varargin)

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updated almost 3 years ago

Kernel Regression with Variable Window Width by Fernando Duarte

Fernando Duarte

Gaussian kernel regression and local linear Gaussian kernel regression with variable window width (kernel, kernel smoothing, kernel regression)

r=ksr_vw(x,y,k,N)

r=ksrlin_vw(x,y,k,N)

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updated almost 3 years ago

Kernel k-means by Mo Chen

Mo Chen

kernel k-means algorithm (kernel, kmeans, clustering)

knkmeans(K,init)

spread(X, label)

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updated 4 years ago

NVCC cuda compiler wraper by Dirk-Jan Kroon

Dirk-Jan Kroon

Compile cuda kernels in Matlab, like nvcc('example.cu') (cuda, kernel, cuda kernel)

nvcc(varargin)

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updated 4 years ago

Regression by Arnout Tilgenkamp

Arnout Tilgenkamp

Non parametric regression using kernels to estimate density function of residuals. (regression, parametric, nonparametric)

KLMHR2(X,y)

KMLHR(B,X,y)

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updated 5 years ago

imgaussian by Dirk-Jan Kroon

Dirk-Jan Kroon

Fast Gaussian filtering of 1D, 2D greyscale / color image or 3D image volume. (imgaussian, gaussian, filtering)

I=imgaussian(I,sigma,siz)

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updated almost 6 years ago

Find Optimal Kernel by Matthew Nelson

Matthew Nelson

Find optimal causal filter kernel that convolves with one time series to approximate another (neuroscience, psychology, filter)

k=FindOptKern(InSig,OutSig,MaxnLags)

TestFindOptKern.m

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updated 6 years ago

2D Gabor Wavelets by Zhi Chai

Zhi Chai

Create and show 2D Gabor Wavelets (filtering, gabor, wavelets)

GaborWavelet (R, C, Kmax, f, u, v, Delt2);

GaborExample.m

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