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updated 2 days 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 1 month ago

LOWESS differentiation by 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 6 months ago

Kernel Density Estimation by Hideaki Shimazaki

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

sskernel(x,tin,W)

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updated 6 months ago

Locally Adaptive Kernel Density Estimation by 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 1 year ago

Sobel filter of predefined size by Jan Motl

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

sobelkernel(size, varargin)

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updated 2 years ago

Kernel Regression with Variable Window Width by 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 2 years ago

Kernel k-means by Mo Chen

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

knkmeans(K,init)

spread(X, label)

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updated 3 years ago

NVCC cuda compiler wraper by Dirk-Jan Kroon

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

nvcc(varargin)

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updated almost 4 years ago

Regression by 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 4 years ago

imgaussian by 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 5 years ago

Find Optimal Kernel by 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 almost 6 years ago

2D Gabor Wavelets by 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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