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updated 1 month ago

edit distances by Boris Schauerte

Edit distances for strings and key lists (i.e. cell arrays of strings or other elements). (edit distance, levenshtein, damerau)

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updated 5 months ago

Perceptually improved colormaps by Matteo Niccoli

5 perceptual colormaps with rainbow-like colors and 1 with heat colors (colormap, data, graphics)

pmkmp.m

CompareLabPlotsUsingColorspace.m

MakeLabPlotUsingColorspace.m

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updated 7 months ago

Customizable Heat Maps by Ameya Deoras

Visualize data as a heatmap with many customizable options. (visualization, heat map, color map)

Heatmap Examples

heatmap(mat, xlab, ylab, textmat, varargin)

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updated 9 months ago

Spectral Visual Saliency Toolbox by Boris Schauerte

Implementations of several state-of-the-art visual saliency detection algorithms. (image processing, saliency, attention)

ICOPP=rgb2icopp(I)

ICOPP=rgb2icopp2(I)

S=spectral_saliency_multichannel(I,imsize,multichannel_me...

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updated 11 months ago

xxd (hexdump) by Boris Schauerte

xxd provides a data export interface to C/C++ headers by generating a static C/C++ array definition (c, data export, hex dump)

xxd(data,name,fid)

xxd_demo.m

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updated 1 year ago

Salient Object Detection Evaluation by Boris Schauerte

Matlab script to evaluate salient object detection algorithms on Achanta's dataset. (computer vision, saliency, attention)

[pos,value]=immaxpos(img)

evaluate_salient_object.m

install_dependencies.m

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updated 1 year ago

Histogram distances by Boris Schauerte

Implementation of some commonly used histogram distances (compatible with the pdist interface) (image processing, signal processing, statistics)

d=chi_square_statistics(XI,XJ)

d=histogram_intersection(XI,XJ)

d=jeffrey_divergence(XI,XJ)

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updated 1 year ago

OpenCV-Matlab by Boris Schauerte

OpenCV-Matlab is a C++ template library to convert between Matlab and OpenCV images (opencv, mex, conversion)

build_opencv_matlab_mex.m

opencv_matlab_mex_demo.m

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updated 1 year ago

Gaussian Surprise and Running Windowed Mean / Variance by Boris Schauerte

Compute the Gaussian/Gamma surprise/saliency of data as well as its windowed mean/variance (saliency, surprise, interestingness)

surprise_univariate_gamma(data,Zeta,alpha_method,beta_met...

build.m

example_acoustic_surprise_1.m

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updated 1 year ago

BSD/Linux Host Information and matlabpoolPlus by Boris Schauerte

Get information about the host on which the Matlab instance is running. Also provides matlabpoolPlus (unix, bsd, linux)

getJavaRuntimeInformation()

getNumProcessorsJava()

matlabpoolPlus(alpha,profname)

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updated almost 2 years ago

SLOCstat by Boris Schauerte

This Matlab function calculates the (effective) source lines of (Matlab) code. (code analysis, sloc, software metric)

calcsloc(filename,verbose)

printslocstat(stat,fid)

slocstat(what,slocfunc,sloc,stat)

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updated almost 3 years ago

Approximation of the Volumetric Scene Reconstruction Error for Multi-Camera Environments by Boris Schauerte

Estimates a 2-D approximation of the volumetric scene reconstruction error. (volumetric scene reco..., pantilt zoom cameras, camera location optim...)

Ae=estimate_error_2d(camera_locations,object_location,obj...

Ae=estimate_error_2d_map(area_rect,camera_locations,objec...

build.m

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updated 3 years ago

Kreyszig confidence by Boris Schauerte

Calculate (binomial) confidence intervals using the method of Kreyszig, 1975. (statistics, kreyszig, confidence interval)

[p_l,p_u]=confidence_kreyszig(k,n,gamma)

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updated 3 years ago

sharedmatrix by Joshua Dillon

SHAREDMATRIX Allows any Matlab object to be shared between Matlab sessions (w/o using file I/O). (shared memory, interprocess communic..., distributed computing)

S=whosshared(HEXOUTPUT)

SharedMemory_install

test

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updated 5 years ago

Writing Fast MATLAB Code by Pascal Getreuer

Speed up your project with this collection of techniques. (whitepaper, article, paper)

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updated 8 years ago

Statistical Learning Toolbox by Dahua Lin

Functions for statistical learning, pattern recognition and computer vision, covering many topics. (statistical learning, pattern recognition, classification)

annsearch(X0, X, k, varargin)

edl_batchexp(expfun, scrpath, env, logger, filter, runopt)

edl_buildiidxdict(S, idxfn)

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