plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | khemrajiitk/Rapidly-exploring-Random-Tree-RRT--master | rough.m | .m | Rapidly-exploring-Random-Tree-RRT--master/rough.m | 3,932 | utf_8 | 12e14596070002217eb943efa823e496 | function main
%obstical1
radius1 = 9;
cen1.x = 25;
cen1.y= 75;
t=0:0.01:2*pi;
global xo1;
xo1 = cen1.x+cos(t)*radius1;
global yo1;
yo1 = cen1.y+sin(t)*radius1;
%storing obstical1 as obst1 object
obst1 = {};
obst1{1}=cen1;
obst1{2} =radius1;
%obstical2
radius2 = 8;
cen2.x = 81;
cen2.y= 30;
t=0:0.01:... |
github | khemrajiitk/Rapidly-exploring-Random-Tree-RRT--master | main.m | .m | Rapidly-exploring-Random-Tree-RRT--master/main.m | 5,729 | utf_8 | 15e3bc86581e2b408990937894fd2553 | function main
%obsticale 1
N = 40;
thetavec = linspace(0,pi,N);
phivec = linspace(0,2*pi,2*N);
[th, ph] = meshgrid(thetavec,phivec);
radius1 = 13; % should be your R(theta,phi) surface in general
cen1.x = 25;
cen1.y = 75;
cen1.z = 65;
global xo1;
xo1 = cen1.x + radius1.*sin(th).*cos(ph);
global yo1;
yo1 =... |
github | jorgecote/DIstill-column-master | distill.m | .m | DIstill-column-master/distill.m | 2,434 | utf_8 | 49c81487b1801bc7ab55edad787de1f5 | %*******************************************************************%
% Binary Distillation Column model for water-etanol mix %
% variables: %
% t --> time %
% x --> mole fraction of A at each ... |
github | arunsais/Expxorcist-master | bounded_gaussian.m | .m | Expxorcist-master/data/bounded_gaussian.m | 1,442 | utf_8 | 47eadad3ed002b50f3651a74089e022a | % method to sample data from a gaussian graph.
function [] = bounded_gaussian(n, p, exNum, graph)
rng(p);
% generate covariance matrix
if(strcmp(graph, 'chain'))
sigma = eye(p);
rho = -0.8;
for i = 1 : p
for j = 1 : p
sigma(i,j) = rho^abs(i - j);
end
end
omega = inv(sigma... |
github | arunsais/Expxorcist-master | bounded_nongaussian.m | .m | Expxorcist-master/data/bounded_nongaussian.m | 3,049 | utf_8 | d62af227a3febf19b13053b538ac0c58 | % sample data from non gaussian distributions
function bounded_nongaussian(n, p, exNum, graph)
rng(p);
% generate interaction terms matrix
if(strcmp(graph, 'chain'))
omega = zeros(p,p);
rho = 1;
for i = 1 : p-1
omega(i,i+1) = rho;
omega(i+1,i) = rho;
end
elseif(strcmp(graph, 'grid'))
... |
github | arunsais/Expxorcist-master | exponential.m | .m | Expxorcist-master/data/exponential.m | 2,071 | utf_8 | 74645c17849b2c9376b0cd165f4de089 | % instead sample from a multivariate exponential distribution
function exponential(n, p, exNum, graph)
rng(p);
% generate interaction terms matrix
if(strcmp(graph, 'chain'))
omega = zeros(p,p);
rho = 0.1;
for i = 1 : p-1
omega(i,i+1) = rho;
omega(i+1,i) = rho;
end
elseif(strcmp(graph, 'g... |
github | arunsais/Expxorcist-master | npglm.m | .m | Expxorcist-master/algorithm/basis_expansion/npglm.m | 4,365 | utf_8 | f569956cc0c98866453cdd4faab6f825 | %% INPUTS
% X: data matrix - n by p matrix; n - number of samples, p - number of nodes in the graph.
% Xtest: test data matrix - ntest by p matrix
% lambda: regularization parameter for group sparse regularized node conditional MLEs.
% d: truncation parameter for basis expansion.
% base_measure_type: specifies which ba... |
github | arunsais/Expxorcist-master | btls.m | .m | Expxorcist-master/algorithm/basis_expansion/btls.m | 945 | utf_8 | 24450ff5b69531fb6e527c8b2a7d1f2c | % back tracking line search
% computes a step size that guarantees decrease in function value
% details of the algorithm can be found at
% http://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227A/lecture18.pdf (slide 29)
% f - function
% gradf - gradient of the function
% prox - proximal operator
% x - current p... |
github | arunsais/Expxorcist-master | accproxgd.m | .m | Expxorcist-master/algorithm/basis_expansion/accproxgd.m | 558 | utf_8 | 044db932cf333f3e308f9dc500174729 | % FISTA - accelerated proximal gradient descent
% x - starting point
% T - number of iterations
% eta - step size
function x = accproxgd(f, gradf, prox, x, T, eta)
gammaO = 1;
x0 = x;
[eta, ~] = btls(f, gradf, prox, x, eta, f(x));
for i = 1 : T
t = eta/sqrt(i);
xt = prox(x - t * gradf... |
github | arunsais/Expxorcist-master | l.m | .m | Expxorcist-master/algorithm/basis_expansion/l.m | 770 | utf_8 | c5515333c675be598d4798ced30749cc | % negative node conditional log likelihood function
% psi - basis expansion matrices
% s : node at which to compute the conditional log likelihood
% params : parameters for node s.
function v = l(psi, s, params, args)
[~,n,~] = size(psi);
tmp = sum(permute(repmat(params, 1,1,n), [1,3,2]).*psi, 3);
fs = tmp(s,:)'... |
github | arunsais/Expxorcist-master | prox_gl.m | .m | Expxorcist-master/algorithm/basis_expansion/prox_gl.m | 234 | utf_8 | 1099dda1ff9c36b583bde2b9ee50a941 | % proximal operator for group lasso
function v = prox_gl(x, lambda)
norms = sum(x.^2, 2).^0.5;
shrinkage = 1 - lambda./norms;
shrinkage(norms <= lambda) = 0;
v = sparse(1:numel(shrinkage), 1:numel(shrinkage), shrinkage)*x;
end
|
github | arunsais/Expxorcist-master | gradl.m | .m | Expxorcist-master/algorithm/basis_expansion/gradl.m | 1,859 | utf_8 | d33115ed777775c63a4ace7c7c9dd890 | % gradient of negative node conditional log likelihood
% psi - basis expansion matrices
% s : node at which to compute the gradient
% opt_s : flag denoting if the gradient should be computed for variables corresponding to node s.
% params : parameters for node s.
% returns d x 1 matrix.
function v = gradl(psi, ... |
github | arunsais/Expxorcist-master | basis_matrix.m | .m | Expxorcist-master/algorithm/basis_expansion/basis_matrix.m | 672 | utf_8 | 59d5e5cf512dfa37c74722eadaa1095e | function v = basis_matrix(X, d, xmins, xmaxs)
[n, p] = size(X);
v = zeros(p,n,d);
for i = 1 : p
if numel(xmins) == 1
xmin = xmins;
xmax = xmaxs;
else
xmin = xmins(i);
xmax = xmaxs(i);
end
v(i,:,:) = basis_matrix_h(X(:,i), d, xmi... |
github | arunsais/Expxorcist-master | alt_min.m | .m | Expxorcist-master/algorithm/basis_expansion/alt_min.m | 1,257 | utf_8 | 3d0dbed834d074fa0f9dcc009d9e21d3 | % Alternating optimization of the regularized node conditional log likelihood
function params = alt_min(psi, s, params, lambda, args)
alt_min_iters = 25;
for i = 1 : alt_min_iters
%% optimization of node specific params
% create anonymous functions
f = @(Z) l_h(psi, s, 1, params, Z, args);
gradf = @(Z... |
github | FDYdarmstadt/BoSSS-master | pdftops.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/pdftops.m | 2,947 | utf_8 | cac024fcdfff373b191140816149e0c2 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for future refere... |
github | FDYdarmstadt/BoSSS-master | isolate_axes.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/isolate_axes.m | 3,198 | utf_8 | 9d34430569940dca9f8c324f61f22fbf | %ISOLATE_AXES Isolate the specified axes in a figure on their own
%
% Examples:
% fh = isolate_axes(ah)
% fh = isolate_axes(ah, vis)
%
% This function will create a new figure containing the axes specified, and
% also their associated legends and colorbars. The axes specified must all
% be in the same figure, but t... |
github | FDYdarmstadt/BoSSS-master | pdf2eps.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/pdf2eps.m | 1,473 | utf_8 | cb8bb442a3d65a64025c32693704d89e | %PDF2EPS Convert a pdf file to eps format using pdftops
%
% Examples:
% pdf2eps source dest
%
% This function converts a pdf file to eps format.
%
% This function requires that you have pdftops, from the Xpdf suite of
% functions, installed on your system. This can be downloaded from:
% http://www.foolabs.com/xpdf ... |
github | FDYdarmstadt/BoSSS-master | print2array.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/print2array.m | 5,963 | utf_8 | c34d89e7caa47b1ffff7af835726459b | %PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% [A bcol] = print2array(...)
%
% This function outputs a bitmap image of the given figure, at t... |
github | FDYdarmstadt/BoSSS-master | eps2pdf.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/eps2pdf.m | 5,017 | utf_8 | bc81caea32035f06d8cb08ea1ccdc81f | %EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, dest, crop, append, gray, quality)
%
% This function converts an eps file to pdf f... |
github | FDYdarmstadt/BoSSS-master | copyfig.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/copyfig.m | 814 | utf_8 | 1844a9d51dbe52ce3927c9eac5ee672e | %COPYFIG Create a copy of a figure, without changing the figure
%
% Examples:
% fh_new = copyfig(fh_old)
%
% This function will create a copy of a figure, but not change the figure,
% as copyobj sometimes does, e.g. by changing legends.
%
% IN:
% fh_old - The handle of the figure to be copied. Default: gcf.
%
% OU... |
github | FDYdarmstadt/BoSSS-master | user_string.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/user_string.m | 2,339 | utf_8 | f9b2326571e9d13eccc99ce441efd788 | %USER_STRING Get/set a user specific string
%
% Examples:
% string = user_string(string_name)
% saved = user_string(string_name, new_string)
%
% Function to get and set a string in a system or user specific file. This
% enables, for example, system specific paths to binaries to be saved.
%
% IN:
% string_name - ... |
github | FDYdarmstadt/BoSSS-master | export_fig.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/export_fig.m | 28,666 | utf_8 | 4a599b3b631aee3eee5a84473d8ceb83 | %EXPORT_FIG Exports figures suitable for publication
%
% Examples:
% im = export_fig
% [im alpha] = export_fig
% export_fig filename
% export_fig filename -format1 -format2
% export_fig ... -nocrop
% export_fig ... -transparent
% export_fig ... -native
% export_fig ... -m<val>
% export_fig ... -r<val... |
github | FDYdarmstadt/BoSSS-master | ghostscript.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/ghostscript.m | 4,076 | utf_8 | b19fc1688d3306608d35f159509a910d | function varargout = ghostscript(cmd)
%GHOSTSCRIPT Calls a local GhostScript executable with the input command
%
% Example:
% [status result] = ghostscript(cmd)
%
% Attempts to locate a ghostscript executable, finally asking the user to
% specify the directory ghostcript was installed into. The resulting path
% is s... |
github | FDYdarmstadt/BoSSS-master | print2eps.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig/print2eps.m | 6,118 | utf_8 | d51322b49255fd17900b2a402b760e8e | %PRINT2EPS Prints figures to eps with improved line styles
%
% Examples:
% print2eps filename
% print2eps(filename, fig_handle)
% print2eps(filename, fig_handle, options)
%
% This function saves a figure as an eps file, with two improvements over
% MATLAB's print command. First, it improves the line style, makin... |
github | FDYdarmstadt/BoSSS-master | pdftops.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/pdftops.m | 7,301 | utf_8 | 8ada403c52d45d5dad03264fcfcec4b7 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for future refere... |
github | FDYdarmstadt/BoSSS-master | crop_borders.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/crop_borders.m | 4,976 | utf_8 | c814ff486afb188464069b51e4b5ed8a | function [A, vA, vB, bb_rel] = crop_borders(A, bcol, padding, crop_amounts)
%CROP_BORDERS Crop the borders of an image or stack of images
%
% [B, vA, vB, bb_rel] = crop_borders(A, bcol, [padding])
%
%IN:
% A - HxWxCxN stack of images.
% bcol - Cx1 background colour vector.
% padding - scalar indicating how much... |
github | FDYdarmstadt/BoSSS-master | isolate_axes.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/isolate_axes.m | 5,225 | utf_8 | a19c59a5f2c180ebe01ec4d766192eff | function fh = isolate_axes(ah, vis)
%ISOLATE_AXES Isolate the specified axes in a figure on their own
%
% Examples:
% fh = isolate_axes(ah)
% fh = isolate_axes(ah, vis)
%
% This function will create a new figure containing the axes/uipanels
% specified, and also their associated legends and colorbars. The objects
%... |
github | FDYdarmstadt/BoSSS-master | im2gif.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/im2gif.m | 7,413 | utf_8 | f09a59e5fd22ac4e0674b3c89bb053b2 | %IM2GIF Convert a multiframe image to an animated GIF file
%
% Examples:
% im2gif infile
% im2gif infile outfile
% im2gif(A, outfile)
% im2gif(..., '-nocrop')
% im2gif(..., '-nodither')
% im2gif(..., '-ncolors', n)
% im2gif(..., '-loops', n)
% im2gif(..., '-delay', n)
%
% This function converts a mu... |
github | FDYdarmstadt/BoSSS-master | read_write_entire_textfile.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/read_write_entire_textfile.m | 924 | utf_8 | 779e56972f5d9778c40dee98ddbd677e | %READ_WRITE_ENTIRE_TEXTFILE Read or write a whole text file to/from memory
%
% Read or write an entire text file to/from memory, without leaving the
% file open if an error occurs.
%
% Reading:
% fstrm = read_write_entire_textfile(fname)
% Writing:
% read_write_entire_textfile(fname, fstrm)
%
%IN:
% fname - Pathn... |
github | FDYdarmstadt/BoSSS-master | pdf2eps.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/pdf2eps.m | 1,648 | utf_8 | cbf3ee6801a32b1e1b87764248465760 | %PDF2EPS Convert a pdf file to eps format using pdftops
%
% Examples:
% pdf2eps source dest
%
% This function converts a pdf file to eps format.
%
% This function requires that you have pdftops, from the Xpdf suite of
% functions, installed on your system. This can be downloaded from:
% http://xpdfreader.com
%
% Inp... |
github | FDYdarmstadt/BoSSS-master | print2array.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/print2array.m | 15,841 | utf_8 | 798ce7a86701e75be2f05fa42b7d45bf | function [A, bcol, alpha] = print2array(fig, res, renderer, gs_options)
%PRINT2ARRAY Exports a figure to a bitmap RGB image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% A = print2ar... |
github | FDYdarmstadt/BoSSS-master | append_pdfs.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/append_pdfs.m | 5,766 | utf_8 | a50efac82c3db7107b801335fe5de03d | function append_pdfs(varargin)
%APPEND_PDFS Appends/concatenates multiple PDF files
%
% Example:
% append_pdfs(outputFilename, inputFilename1, inputFilename2, ...)
% append_pdfs(outputFilename, inputFilenames_list{:})
% append_pdfs(outputFilename, inputFilenames_cell_or_string_array)
% append_pdfs output.pdf in... |
github | FDYdarmstadt/BoSSS-master | using_hg2.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/using_hg2.m | 1,064 | utf_8 | a1883d15c4304cd0ac406c117e3047ea | %USING_HG2 Determine if the HG2 graphics engine is used
%
% tf = using_hg2(fig)
%
%IN:
% fig - handle to the figure in question.
%
%OUT:
% tf - boolean indicating whether the HG2 graphics engine is being used
% (true) or not (false).
% 19/06/2015 - Suppress warning in R2015b; cache result for improved per... |
github | FDYdarmstadt/BoSSS-master | eps2pdf.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/eps2pdf.m | 12,417 | utf_8 | ed3a1249a325dd22b79b3c5de74fa436 | function eps2pdf(source, dest, crop, append, gray, quality, gs_options)
%EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, dest, crop... |
github | FDYdarmstadt/BoSSS-master | export_fig.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/export_fig.m | 114,187 | utf_8 | 60eebe0aeb4a134ee0f596a8eba2c27e | function [imageData, alpha] = export_fig(varargin) %#ok<*STRCL1>
%EXPORT_FIG Exports figures in a publication-quality format
%
% Examples:
% imageData = export_fig
% [imageData, alpha] = export_fig
% export_fig filename
% export_fig filename -format1 -format2
% export_fig ... -nocrop
% export_fig ... -c[<v... |
github | FDYdarmstadt/BoSSS-master | ghostscript.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/ghostscript.m | 8,296 | utf_8 | 4f0e9071f894361b54efeec2a89de95c | function varargout = ghostscript(cmd)
%GHOSTSCRIPT Calls a local GhostScript executable with the input command
%
% Example:
% [status result] = ghostscript(cmd)
%
% Attempts to locate a ghostscript executable, finally asking the user to
% specify the directory ghostcript was installed into. The resulting path
% is s... |
github | FDYdarmstadt/BoSSS-master | fix_lines.m | .m | BoSSS-master/examples/Oscillating-Droplet/plotData/export_fig-master/fix_lines.m | 6,290 | utf_8 | 8437006b104957762090e3d875688cb6 | %FIX_LINES Improves the line style of eps files generated by print
%
% Examples:
% fix_lines fname
% fix_lines fname fname2
% fstrm_out = fixlines(fstrm_in)
%
% This function improves the style of lines in eps files generated by
% MATLAB's print function, making them more similar to those seen on
% screen. Grid ... |
github | FDYdarmstadt/BoSSS-master | UXStagMap.m | .m | BoSSS-master/examples/PrintingNip/UXStagMap.m | 3,577 | utf_8 | d53d105117d8a405e6a773708facebd8 | clc
clear all
% create figure 11 in Pressure and shear flow singularities: fluid splitting and printing nip hydrodynamics
% Matthias Elia Rieckmann, Pauline Brumm, Hans Martin Sauer, Edgar Doersam, Florian Kummer
% Physics of Fluids, 2023
opts = detectImportOptions('PrintingNip-Part4.csv');
% preview('PrintingNip-Par... |
github | FDYdarmstadt/BoSSS-master | CounterDiffusionFlameMain.m | .m | BoSSS-master/src/L4-application/XNSEC2/Worksheets/Jupyter/CounterFlowFlameMatlabCode/CounterDiffusionFlameMain.m | 7,612 | utf_8 | 8e42a5476f7fd7dd50e67defbda010a4 | close all;clear; clc;
%% Problem geometry description
C.L = 0.02; % Domain length, m
C.cp = 1.3; % Heat capacity;
C.initialCellNumber = 100;
useBoSSSForInitialization = true;
C.chemActive = true;
C.variableKineticParameters = true;
velocityMultiplier = 11;
%% Boundary conditions
if useBoSSSForInitialization
% Re... |
github | FDYdarmstadt/BoSSS-master | CounterFlowFlame_FullChemistry.m | .m | BoSSS-master/src/L4-application/XNSEC2/Worksheets/Jupyter/CounterFlowFlameMatlabCode/CounterFlowFlame_FullChemistry.m | 9,872 | utf_8 | 7d2c1703e9d63766b0709fc2da980ec7 | %%Initial solution is [v,U1,U2,TO0,Y1_1,Y2_1,Y3_1,Y4_1,Y5_1]
%% Solves the one-dimensional countrflow diffusion flame in cartesian coordinates
function [xint, Sxint, calculatedStrain, maxTemperature] = CounterFlowFlame_FullChemistry2(C, newSolution, xinit, lambda)
%% Solver configuration
cpconstant = true;
chemActive ... |
github | FDYdarmstadt/BoSSS-master | getComponentCp.m | .m | BoSSS-master/src/L4-application/XNSEC2/Worksheets/Jupyter/CounterFlowFlameMatlabCode/nasapolynomials/getComponentCp.m | 1,901 | utf_8 | 99aa6723a33c4ba5baaf099df7ac76a4 | function cp = getComponentCp(T, component )
R = 8.314; %KJ/KgK
[mycoef, MW]= getCoefficients(T,component);
cp_R = mycoef(1) + mycoef(2)*T + mycoef(3)*T^2+ mycoef(4)*T^3+ mycoef(5)*T^4;
cp = cp_R*R/MW;
end
function [coef, MW] = getCoefficients(T, component)
limit =1000;
switch c... |
github | wenjiegroup/DeepRed-master | supervisedstackedAEPredict.m | .m | DeepRed-master/Matlab_code_of_DeepRed/supervisedstackedAEPredict.m | 1,559 | utf_8 | a0c8343f0fbdfdb7056c7582c6f44050 | function [pred,M2] = supervisedstackedAEPredict(theta, hiddenSize, numClasses, netconfig, data)
% stackedAEPredict: Takes a trained theta and a test data set,
% and returns the predicted labels for each example.
% theta: trained weights... |
github | wenjiegroup/DeepRed-master | emgm.m | .m | DeepRed-master/Matlab_code_of_DeepRed/emgm.m | 3,012 | utf_8 | 3e33f09eae2378fb4c43bac397dcedbf | function [label, model, llh] = emgm(X, init)
% Perform EM algorithm for fitting the Gaussian mixture model.
% X: d x n data matrix
% init: k (1 x 1) or label (1 x n, 1<=label(i)<=k) or center (d x k)
% Written by Michael Chen (sth4nth@gmail.com).
%% initialization
fprintf('EM for Gaussian mixture: running ... \n');... |
github | wenjiegroup/DeepRed-master | supervisedstackedAECost.m | .m | DeepRed-master/Matlab_code_of_DeepRed/supervisedstackedAECost.m | 3,980 | utf_8 | f18b7bda7d257c34ba8570deeb696070 | function [ cost, grad ] = supervisedstackedAECost(theta, hiddenSize, ...
numClasses, netconfig, ...
lambda, data, labels)
% stackedAECost: Takes a trained softmaxTheta and a training dat... |
github | wenjiegroup/DeepRed-master | unsupervisedstackedAEPredict.m | .m | DeepRed-master/Matlab_code_of_DeepRed/unsupervisedstackedAEPredict.m | 1,455 | utf_8 | e6e4f928fd00f181d643913558de16f0 | function [data] = unsupervisedstackedAEPredict(theta, netconfig, data)
% stackedAEPredict: Takes a trained theta and a test data set,
% and returns the predicted labels for each example.
% theta: trained weights from the autoencoder
% h... |
github | wenjiegroup/DeepRed-master | WolfeLineSearch.m | .m | DeepRed-master/Matlab_code_of_DeepRed/minFunc/WolfeLineSearch.m | 11,106 | utf_8 | f97d9ca0bf8aab87df9aa65e74f98589 | function [t,f_new,g_new,funEvals,H] = WolfeLineSearch(...
x,t,d,f,g,gtd,c1,c2,LS,maxLS,tolX,debug,doPlot,saveHessianComp,funObj,varargin)
%
% Bracketing Line Search to Satisfy Wolfe Conditions
%
% Inputs:
% x: starting location
% t: initial step size
% d: descent direction
% f: function value at starting lo... |
github | wenjiegroup/DeepRed-master | minFunc_processInputOptions.m | .m | DeepRed-master/Matlab_code_of_DeepRed/minFunc/minFunc_processInputOptions.m | 3,551 | utf_8 | ea7fbcf303b9cafeca4045921adad934 |
function [verbose,verboseI,debug,doPlot,maxFunEvals,maxIter,tolFun,tolX,method,...
corrections,c1,c2,LS_init,LS,cgSolve,qnUpdate,cgUpdate,initialHessType,...
HessianModify,Fref,useComplex,numDiff,LS_saveHessianComp,...
DerivativeCheck,Damped,HvFunc,bbType,cycle,...
HessianIter,outputFcn,useMex,useNegCu... |
github | wandgibaut/GA_ELM-master | gen_k_folds.m | .m | GA_ELM-master/ELM/gen_k_folds.m | 1,071 | utf_8 | fc334b7e3f8168ba8404252080669a36 | % 31/05/2017 - FEEC/Unicamp
% gen_k_folds.m
% Generation of k folds from a single dataset containing X and S
%
function [] = gen_k_folds(filename,k)
load(filename);
N = length(X(:,1));
n_elem = floor(N/k);
excess = mod(N,k);
order = randperm(N);
ind = 1;
excess1 = excess;
for i=1:k,
for j=1:n_elem,
... |
github | wandgibaut/GA_ELM-master | process.m | .m | GA_ELM-master/ELM/process.m | 1,146 | utf_8 | 94a2a8c33c73d2acce628696527058af | % 05/05/2012
% function [Ew,dEw,Ewv,eqm,eqmv] = process(X,S,Xv,Sv,w1,w2,n,m,N,Nv)
% Output: Ew: Squared error for the training dataset
% dEw: Gradient vector for the training dataset
% Ewv: Squared error for the validation dataset
% Presentation of input-output patterns: batch mode
% All neurons ... |
github | wandgibaut/GA_ELM-master | qmean.m | .m | GA_ELM-master/ELM/qmean.m | 242 | utf_8 | 920ee8f9f07c5fe3cd8f614cac3bb688 | % 05/05/2012
% qmean.m
% Gives the root mean square (quadratic mean) for the elements of
% one vector or one matrix.
%
function [rms] = qmean(w)
[nr,nc] = size(w);
v = reshape(w,nr*nc,1);
n_v = length(v);
rms = sqrt(sum(v.*v)/n_v);
|
github | wandgibaut/GA_ELM-master | hprocess.m | .m | GA_ELM-master/ELM/hprocess.m | 821 | utf_8 | a11949516b4e20b4345e561ca5963896 | %
% function [s] = hprocess(X,S,w1,w2,p1,p2)
% s = product H*p (computed exactly)
%
function [s] = hprocess(X,S,w1,w2,p1,p2)
[N,n_in] = size(X);
n_hid = length(w1(:,1));
n_out = length(S(1,:));
x1 = [X ones(N,1)];
rx1 = zeros(N,n_in+1);
y1 = tanh(x1*w1');
ry1 = (x1*p1'+rx1*w1').*(1.0-y1.*y1);
x2 = [y1 ones(... |
github | wandgibaut/GA_ELM-master | qmean2.m | .m | GA_ELM-master/ELM/qmean2.m | 331 | utf_8 | f8482b9fd3969940424c13fa914c787a | % 05/05/2012
% qmean2.m
% Gives a kind of root mean square (quadratic mean) for the elements of
% two matrices, taken together.
%
function [rms] = qmean2(w1,w2)
[nr1,nc1] = size(w1);
v1 = reshape(w1,nr1*nc1,1);
[nr2,nc2] = size(w2);
v2 = reshape(w2,nr2*nc2,1);
v = [v1;v2];
n_v = length(v);
rms = sqrt(sum(v.... |
github | wandgibaut/GA_ELM-master | process_options.m | .m | GA_ELM-master/ELM/process_options.m | 4,394 | utf_8 | 483b50d27e3bdb68fd2903a0cab9df44 | % PROCESS_OPTIONS - Processes options passed to a Matlab function.
% This function provides a simple means of
% parsing attribute-value options. Each option is
% named by a unique string and is given a default
% value.
%
% Usage: [var1, var2, ...... |
github | wandgibaut/GA_ELM-master | __ga_problem__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_problem__.m | 4,683 | utf_8 | 6c87b89209dd136875213e1acc4f8dd8 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | gacreationuniform.m | .m | GA_ELM-master/Octave_GA_Package/gacreationuniform.m | 2,006 | utf_8 | 67debabecd04ecfd9bb83db91ae8c8a8 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | __ga_problem_private_state__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_problem_private_state__.m | 2,146 | utf_8 | 893eb63244d15752210761db85c60b8c | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | selectionstochunif.m | .m | GA_ELM-master/Octave_GA_Package/selectionstochunif.m | 1,618 | utf_8 | 87ac6650e2429e58f96db39a403276e9 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | fitscalingrank.m | .m | GA_ELM-master/Octave_GA_Package/fitscalingrank.m | 1,908 | utf_8 | bd97cb739f2daf62e15ad4a969936b28 | ## Copyright (C) 2008, 2009 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
... |
github | wandgibaut/GA_ELM-master | ga.m | .m | GA_ELM-master/Octave_GA_Package/ga.m | 15,185 | utf_8 | 23597e35bae5ce410cdb52ab98972bc0 | ## Copyright (C) 2008, 2010, 2012 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later ver... |
github | wandgibaut/GA_ELM-master | gaoptimset.m | .m | GA_ELM-master/Octave_GA_Package/gaoptimset.m | 4,063 | utf_8 | 46b7597649d783633f30acd9ce5f5b0d | ## Copyright (C) 2008, 2009, 2010 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later ver... |
github | wandgibaut/GA_ELM-master | crossoverscattered.m | .m | GA_ELM-master/Octave_GA_Package/crossoverscattered.m | 1,680 | utf_8 | 698869bc98516ecc5c198b58eb033ec5 | ## Copyright (C) 2008, 2009, 2011 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later ver... |
github | wandgibaut/GA_ELM-master | __ga_selectionfcn__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_selectionfcn__.m | 952 | utf_8 | 026c5478931e97701612fe06e3a49d46 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | __ga_problem_state_selection__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_problem_state_selection__.m | 1,392 | utf_8 | 0aef374341c65d3b13b8576932f64e2e | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | rastriginsfcn.m | .m | GA_ELM-master/Octave_GA_Package/rastriginsfcn.m | 1,699 | utf_8 | 725e76ddbfb107653df2227561cf0364 | ## Copyright (C) 2008, 2009, 2010, 2012 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any lat... |
github | wandgibaut/GA_ELM-master | __ga_scores__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_scores__.m | 2,052 | utf_8 | 6d15bb39ebed458bfa7614898207a0c5 | ## Copyright (C) 2008, 2010 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
... |
github | wandgibaut/GA_ELM-master | __ga_initial_population__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_initial_population__.m | 3,743 | utf_8 | 579d807d29e60e12ff66b41cb6b4a6eb | ## Copyright (C) 2008, 2010 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
... |
github | wandgibaut/GA_ELM-master | __gaoptimset_default_options__.m | .m | GA_ELM-master/Octave_GA_Package/__gaoptimset_default_options__.m | 2,759 | utf_8 | 7402f2ba9c19e10c5f76e27a241bae8b | ## Copyright (C) 2008, 2009, 2010 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later ver... |
github | wandgibaut/GA_ELM-master | __ga_crossoverfcn__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_crossoverfcn__.m | 1,307 | utf_8 | f1d436df0343bf3a94cdcb9f12b75e43 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | mutationgaussian.m | .m | GA_ELM-master/Octave_GA_Package/mutationgaussian.m | 2,017 | utf_8 | a6b09d87d973e9079bc72dc013297750 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | __ga_popinitrange__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_popinitrange__.m | 1,121 | utf_8 | f98dae69d0cd512e69ac3eb6377c54e1 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | __ga_problem_update_state_at_each_generation__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_problem_update_state_at_each_generation__.m | 2,203 | utf_8 | 586dff9dd0d38a2fc88633cd01617b11 | ## Copyright (C) 2008, 2010 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
... |
github | wandgibaut/GA_ELM-master | __ga_stop__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_stop__.m | 1,368 | utf_8 | b34fdecdf33b5422089dc5db4c75e620 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | __ga_mutationfcn__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_mutationfcn__.m | 1,207 | utf_8 | a433a51276b4b8b7cb444715e2e92239 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | wandgibaut/GA_ELM-master | __ga_problem_return_variables__.m | .m | GA_ELM-master/Octave_GA_Package/__ga_problem_return_variables__.m | 1,442 | utf_8 | 0c5e1d8e6f778ab2420548ca30b40a46 | ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## ... |
github | mdaddysman/Thorlabs-CMOS-USB-cameras-in-Matlab-master | ThorVideo.m | .m | Thorlabs-CMOS-USB-cameras-in-Matlab-master/ThorVideo.m | 4,539 | utf_8 | 01dc204a517fc072f92090a252806475 | function ThorVideo()
[hCam, width, height] = LoadCamera();
maxgain = GetMaxGain(hCam);
gain = GetGain(hCam);
expset = GetExposureInfo(hCam);
gboost = SetGainBoost(hCam,-1);
cm = 1;
if exist('ThorCamSaveSettings.mat', 'file') == 2
settings = load('ThorCamSaveSettings.mat');
gain = settings.sgain;
... |
github | mdaddysman/Thorlabs-CMOS-USB-cameras-in-Matlab-master | ThorVideo_Functions.m | .m | Thorlabs-CMOS-USB-cameras-in-Matlab-master/ThorVideo_Functions.m | 4,891 | utf_8 | 412e322011293194dda9b72043652539 | function ThorVideo_Functions()
rh = ThorCam_Open();
while(ishghandle(rh.fh))
ThorCam_RunLoop(rh);
end
close all
clearvars;
end
function ThorCam_RunLoop(runhandles)
tic
image = GetImage(runhandles.hCam,runhandles.width,runhandles.height);
image = flipud(rot90(reshape(image,runhandles.width,runhand... |
github | rasthana522/Classification-of-Breast-Cancer-Tumors-master | clusterings.m | .m | Classification-of-Breast-Cancer-Tumors-master/clusterings.m | 9,466 | utf_8 | 7a58c73d86f75014af01d4f5cd526ab0 | fig_num = 0;
filename = 'BreastData.xlsx';
xlrange = 'B2:AF19';
X = xlsread(filename, xlrange);
X1 = [X(:,1) X(:,17:30)];
rng(1);
%%% Creating Color Matrix for Plotting
green = [0.3 0.8 0.3];
red = [1 0 0];
C = cell(18, 3);
[C(1:9,1),C(1:9,2),C(1:9,3)] = deal({green(1)},{green(2)},{green(3)});
[C(10:18,1),C(10:18,2),C... |
github | jsbenjamins/gazecode-master | gazecode.m | .m | gazecode-master/code/gazecode.m | 22,328 | utf_8 | d5406938333a82349e3999f2c9dd6bef | function gazecode()
% GazeCode (alpha version)
%
% This software allows for fast and flexible manual classification of any
% mobile eye-tracking data. Currently Pupil Labs and Tobii Pro Glasses data
% are supported. The software loads an exported visualisation (video file)
% and the data of a mobile eye-tracking me... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | CheckStructReg.m | .m | FreeHyTE-Structural-HTD-master/CheckStructReg.m | 14,988 | utf_8 | 9ec1e343b711657ba56b461c5499ceb1 | function varargout = CheckStructReg(varargin)
% CHECKSTRUCTREG MATLAB code for CheckStructReg.fig
% CHECKSTRUCTREG, by itself, creates a new CHECKSTRUCTREG or raises the existing
% singleton*.
%
% H = CHECKSTRUCTREG returns the handle to a new CHECKSTRUCTREG or the handle to
% the existing singleton... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | StructTriBC1.m | .m | FreeHyTE-Structural-HTD-master/StructTriBC1.m | 16,215 | utf_8 | 18071396a70e5a6c5d00c2801681c3b4 | %% STANDARD, PREDEFINED FUNCTIONS
% No changes were made to the following functions, predefined by GUIDE
function varargout = StructTriBC1(varargin)
% STRUCTTRIBC1 MATLAB code for StructTriBC1.fig
% STRUCTTRIBC1, by itself, creates a new STRUCTTRIBC1 or raises the existing
% singleton*.
%
% H = ... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | StructTriBC2.m | .m | FreeHyTE-Structural-HTD-master/StructTriBC2.m | 25,242 | utf_8 | 3ce94f3d416f7e0c7ec937ca8175b84d | %% STANDARD, PREDEFINED FUNCTIONS
% No changes were made to the following functions, predefined by GUIDE
function varargout = StructTriBC2(varargin)
% STRUCTTRIBC2 MATLAB code for StructTriBC2.fig
% STRUCTTRIBC2, by itself, creates a new STRUCTTRIBC2 or raises the existing
% singleton*.
%
% H = ... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | VisualizeTri.m | .m | FreeHyTE-Structural-HTD-master/VisualizeTri.m | 4,483 | utf_8 | affd85f9ab67bc4eeb5f266cbb69374c | function varargout = VisualizeTri(varargin)
% VISUALIZETRI MATLAB code for VisualizeTri.fig
% VISUALIZETRI, by itself, creates a new VISUALIZETRI or raises the existing
% singleton*.
%
% H = VISUALIZETRI returns the handle to a new VISUALIZETRI or the handle to
% the existing singleton*.
%
% VI... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | StructRegBC2.m | .m | FreeHyTE-Structural-HTD-master/StructRegBC2.m | 20,555 | utf_8 | a9852dc440c14f3d430b4968d279bead | function varargout = StructRegBC2(varargin)
% STRUCTREGBC2 MATLAB code for StructRegBC2.fig
% STRUCTREGBC2, by itself, creates a new STRUCTREGBC2 or raises the existing
% singleton*.
%
% H = STRUCTREGBC2 returns the handle to a new STRUCTREGBC2 or the handle to
% the existing singleton*.
%
%... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | StructRegBC1.m | .m | FreeHyTE-Structural-HTD-master/StructRegBC1.m | 15,032 | utf_8 | 2af0284af20ac072dd37e1d21fb117e7 | function varargout = StructRegBC1(varargin)
% STRUCTREGBC1 MATLAB code for StructRegBC1.fig
% STRUCTREGBC1, by itself, creates a new STRUCTREGBC1 or raises the existing
% singleton*.
%
% H = STRUCTREGBC1 returns the handle to a new STRUCTREGBC1 or the handle to
% the existing singleton*.
%
% ST... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | StructDef.m | .m | FreeHyTE-Structural-HTD-master/StructDef.m | 44,142 | utf_8 | 6ce2378f399d3a8deac90865ac3b6d92 | %% PREDEFINED FUNCTIONS
% No changes were made to the following functions, predefined by GUIDE
function varargout = StructDef(varargin)
% STRUCTDEF MATLAB code for StructDef.fig
% STRUCTDEF, by itself, creates a new STRUCTDEF or raises the existing
% singleton*.
%
% H = STRUCTDEF returns the han... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | VisualizeReg.m | .m | FreeHyTE-Structural-HTD-master/VisualizeReg.m | 4,483 | utf_8 | ba24a15c04807eb97012e3cb337df1ca | function varargout = VisualizeReg(varargin)
% VISUALIZEREG MATLAB code for VisualizeReg.fig
% VISUALIZEREG, by itself, creates a new VISUALIZEREG or raises the existing
% singleton*.
%
% H = VISUALIZEREG returns the handle to a new VISUALIZEREG or the handle to
% the existing singleton*.
%
% VI... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | CheckStructTri.m | .m | FreeHyTE-Structural-HTD-master/CheckStructTri.m | 10,745 | utf_8 | f372bc2a5776918ec9f99fd997a70faf | function varargout = CheckStructTri(varargin)
% CHECKSTRUCTTRI MATLAB code for CheckStructTri.fig
% CHECKSTRUCTTRI, by itself, creates a new CHECKSTRUCTTRI or raises the existing
% singleton*.
%
% H = CHECKSTRUCTTRI returns the handle to a new CHECKSTRUCTTRI or the handle to
% the existing singleton... |
github | idmoldovan/FreeHyTE-Structural-HTD-master | SplashScreen.m | .m | FreeHyTE-Structural-HTD-master/SplashScreen.m | 19,426 | utf_8 | 49549fadd81d545c2d453aec533fd126 | classdef SplashScreen < hgsetget
%SplashScreen create a splashscreen
%
% s = SplashScreen(title,imagefile) creates a splashscreen using
% the specified image. The title is the name of the window as shown
% in the task-bar. Use "delete(s)" to remove it. Note that images
% must be i... |
github | abagde93/ECE253-master | chroma_keying.m | .m | ECE253-master/ECE253_HW1/main/chroma_keying.m | 1,591 | utf_8 | e7026e5d39354368b8b173526f4cabc4 | %Problem 4: Chroma Keying
function [] = chroma_keying(input_image, mask_params, background_image)
%First read in input and background images
input_img = imread(input_image);
img_background = imread(background_image);
%Process input image. Get histograms for individual RGB channels
%This way we can set thresholds fo... |
github | abagde93/ECE253-master | compute_norm_rgb_histogram.m | .m | ECE253-master/ECE253_HW1/main/compute_norm_rgb_histogram.m | 1,870 | utf_8 | 3229b67d2beb9479737cc65025d1a230 | %Problem 3: Histograms
function rgb_hist = compute_norm_rgb_histogram(input_image)
%First we have to read in the image
%We pass the function the image --> compute_norm_rgb_histogram(image_name)
%imshow(input_image)
%Now seperate image into individual RGB components
red = input_image(:,:,1);
green = input_image(:,:... |
github | abagde93/ECE253-master | chroma_keying.m | .m | ECE253-master/ECE253_HW1/Problem4/chroma_keying.m | 1,591 | utf_8 | e7026e5d39354368b8b173526f4cabc4 | %Problem 4: Chroma Keying
function [] = chroma_keying(input_image, mask_params, background_image)
%First read in input and background images
input_img = imread(input_image);
img_background = imread(background_image);
%Process input image. Get histograms for individual RGB channels
%This way we can set thresholds fo... |
github | abagde93/ECE253-master | compute_norm_rgb_histogram.m | .m | ECE253-master/ECE253_HW1/Problem3/compute_norm_rgb_histogram.m | 1,870 | utf_8 | 3229b67d2beb9479737cc65025d1a230 | %Problem 3: Histograms
function rgb_hist = compute_norm_rgb_histogram(input_image)
%First we have to read in the image
%We pass the function the image --> compute_norm_rgb_histogram(image_name)
%imshow(input_image)
%Now seperate image into individual RGB components
red = input_image(:,:,1);
green = input_image(:,:... |
github | abagde93/ECE253-master | AHE.m | .m | ECE253-master/ECE253_HW2/Problem1/AHE.m | 1,359 | utf_8 | 606ab0162f38e5b54dfb15ce5fa9c543 | %Problem 1: Adaptive Histogram Equalization
function enhanced_image = AHE(input_image,win_size)
%Pad input image based on window size, so conextual region for edge pixels
%remains valid. Window size in always MxM, where M is odd.
%Window will always be contered on pixel of interest. This means that the
%padding on e... |
github | abagde93/ECE253-master | QUANT_MSE.m | .m | ECE253-master/ECE253_HW2/main/QUANT_MSE.m | 1,852 | utf_8 | 4e5588d86ca8130cc5dea9700714ea4a | %Problem 3 - Lloyd-Max Quantizer
function MSE = QUANT_MSE(im)
%%Part1%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Defined seperate function myQuantize
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%Part2 and Part3%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | abagde93/ECE253-master | AHE.m | .m | ECE253-master/ECE253_HW2/main/AHE.m | 1,359 | utf_8 | 606ab0162f38e5b54dfb15ce5fa9c543 | %Problem 1: Adaptive Histogram Equalization
function enhanced_image = AHE(input_image,win_size)
%Pad input image based on window size, so conextual region for edge pixels
%remains valid. Window size in always MxM, where M is odd.
%Window will always be contered on pixel of interest. This means that the
%padding on e... |
github | abagde93/ECE253-master | QUANT_MSE.m | .m | ECE253-master/ECE253_HW2/Problem3/QUANT_MSE.m | 1,852 | utf_8 | 4e5588d86ca8130cc5dea9700714ea4a | %Problem 3 - Lloyd-Max Quantizer
function MSE = QUANT_MSE(im)
%%Part1%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Defined seperate function myQuantize
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%Part2 and Part3%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | lodemo/CATANA-master | detect_face_v1.m | .m | CATANA-master/src/face_recognition/facenet/tmp/detect_face_v1.m | 7,954 | utf_8 | 678c2105b8d536f8bbe08d3363b69642 | % MIT License
%
% Copyright (c) 2016 Kaipeng Zhang
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, modify, mer... |
github | lodemo/CATANA-master | detect_face_v2.m | .m | CATANA-master/src/face_recognition/facenet/tmp/detect_face_v2.m | 9,016 | utf_8 | 0c963a91d4e52c98604dd6ca7a99d837 | % MIT License
%
% Copyright (c) 2016 Kaipeng Zhang
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, modify, mer... |
github | beridel/fast_matched_filter-master | fast_matched_filter.m | .m | fast_matched_filter-master/fast_matched_filter/fast_matched_filter.m | 5,239 | utf_8 | c3c59b14256bbcf7816ddf1f7c56dd06 | % :copyright:
% William B. Frank and Eric Beauce
% :license:
% GNU General Public License, Version 3
% (https://www.gnu.org/licenses/gpl-3.0.en.html)
function [cc_sum] = fast_matched_filter(templates, ...
moveouts, ...
weights,... |
github | MRC-CBU/riksneurotools-master | rsfMRI_GLM.m | .m | riksneurotools-master/Conn/rsfMRI_GLM.m | 25,725 | utf_8 | 2654812ab9bb94b923565c58d1b0db46 |
function [Zmat, Bmat, pZmat, pBmat, aY, X0r] = rsfMRI_GLM(S);
% [Zmat, Bmat, pZmat, pBmat, aY, X0r] = rsfMRI_GLM(S);
%
% Function (using SPM8 functions) for estimating linear regressions
% between fMRI timeseries in each pair of Nr ROIs, adjusting for bandpass
% filter, confounding timeseries (eg CSF) and (SVD of) ... |
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