sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
41dd5dccaeb446b2198f8a24fd313a14de47dbf1b48d9f4dbf4deab9b060f634 | MATLAB | 881 | 32 | %% Test that factorGraphMakePairwise creates an equivalent model
% by comparing the results of inference
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
nnodes = 10;
maxFanIn = 2;
maxFanOut = 3;
maxNstates = 3;
ntrials = 10;
for i=1:ntrials
dgm = mkRndDgm(nnodes, maxFanIn, maxFanOut, ... |
9ac22531135aab0069bca26ffc40a1dd500f1b6958bed3b1f896252202f51fd8 | MATLAB | 881 | 32 | function val=jsonopt(key,default,varargin)
%
% val=jsonopt(key,default,optstruct)
%
% setting options based on a struct. The struct can be produced
% by varargin2struct from a list of 'param','value' pairs
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
%
% $Id: loadjson.m 371 2012-06-20 12:43:06Z fangq $
%
%... |
eec9e9ea633486de87172fe334d3ae193679a50e83edf2c3c8f2b13e6d5651a6 | MATLAB | 881 | 32 | function EMP_Transform_Curvelet(num_)
X1 = readtable(strcat('../../Data/VCF/output_0.csv'));
X1(:,1) = [];
X1(1,:) = [];
X = table2array(X1);
C = fdct_wrapping(X,1);
A = [];
for i = 1:length(C)
for j = 1:length(C{i})
D = reshape(C{i}{j}, 1, []);
A = [A D];
... |
138d13bc6356c2328fa8a88a6c76e5963ac0ae9a4f4b560b54643247f7450ec0 | MATLAB | 882 | 31 | function nrm = norm(A)
%NORM Frobenius norm of a ktensor.
%
% NORM(T) returns the Frobenius norm of a ktensor.
%
% See also KTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
... |
353baccea893a1e8c86fb310ad90d12dcf5bd5650959a55987ccedb8ef7d7195 | MATLAB | 882 | 11 | function res = calDP(spkDev, cIndx, wins, iteration)
for wIndex = 1 : size(wins, 1)
[~, ~, count_Correct] = cellfun(@(x, y) NoveltySU.utils.calFR(x, wins(wIndex, :), y), {spkDev.correct(cIndx).spikePlot_on}', {spkDev.correct(cIndx).trials}', "UniformOutput", false);
[~, ~, count_Wrong] = cellfun(... |
71c6e38d0a1681e84aaaa0e933ee5a7b2173c13ecb9b99725f33b9735c36a011 | MATLAB | 882 | 26 | function Simul(file,vid)
start = AS_Init(strcat(file,'.csv'));
out = AS_Run(start,vid);
if vid
gifmaker(file,out);
out = rmfield(out,'MOV');
end
save(strcat(file,'.mat'),'out','-v7.3');
%% Figures
s = out.s; t_lim = out.t_lim;
T = out.RES.T; P = out.RES.P; U = out.RES.U;
N1 = sum(out.NEUR(:,2)==1); N2 = su... |
831b54b07c1868e55d33bcbd6f24f97431c7eb3f6940291298e873aebf156e5f | MATLAB | 882 | 37 | function e = check_element_orientation_3d(e,p)
% Checks if the 3D tetrahedral elements are oriented in a positive way.
% If not, it re-orients them.
% Tetrahedron (pa, pb, pc, pd) is
% positive if the point pd lies below the
% plane passing through pa, pb, and pc; "below" is defined so
% that pa, pb, and pc a... |
a4315e73d9cc3eb3e254cff4724e73a0742da2a3d9fb7d73f023915d96f0891f | MATLAB | 882 | 36 | function new = ensureAllStructsAssignable(old, DEBUG)
% checks each structure in an array to ensure they all have the same
% fields, will also reorder all the fields into the same order
% new = ensureAllStructsAssignable(old, DEBUG)
% old is a structure array, DEBUG is [0 1] on whether to print messages
% when mismatch... |
bd81a2952338a9d216fc741c1dfcc006af7d388037ecdc347c73409483ccc3b3 | MATLAB | 882 | 27 | % crop_fmf(infmf,outfmf,startframe,endframe)
function crop_fmf(infmf,outfmf,startframe,endframe)
[header_size,version,nr,nc,bytes_per_chunk,nframes,data_format] = fmf_read_header(infmf);
if startframe < 1 || startframe > nframes || endframe < 0 || endframe > nframes || startframe > endframe,
error('startframe or ... |
bf7bb8ff7978426fa129b8e3658a153b642d4bfb9e1b9244ab2bc3975a51a0db | MATLAB | 882 | 34 | function lbl = loadLbl(lbl_file,varargin)
% Load a .lbl file. Returns a *struct* with fields similar to those you might
% find in a Labeler object.
keeptempdir = myparse(varargin,...
'keeptempdir',false ...
);
tname = tempname() ;
mkdir(tname);
try
fprintf('Untarring project %s into %s\n',lbl_file,tname);
un... |
581dc3d84894bdaf9a7e418dca84b6cea07c7af1c558272444c937e23ecd8b87 | MATLAB | 883 | 39 | function [TestImage_Round]=ImageRoundnessTest(TestImage,Round_Threshold)
TestImage_BW=logical(TestImage);
se = strel('disk',5);
TestImage_BW = imclose(TestImage_BW,se);
[B,L] = bwboundaries(TestImage_BW,'noholes');
stats = regionprops(L,'Area','Centroid','PixelList');
% loop over the boundaries
for k = 1:length(B)... |
b187cc6dc758fd35197d66bff18edf4ed0dec90ed96b7fed19e00220efe64188 | MATLAB | 883 | 20 | function [m,c] = linmap( li, ui, lo, uo )
% DIFF2D Differentiation in 2D images
% INPUT:
% li,ui - minimum and maximum input variable values (X)
% lo,uo - minimum and maximum output variable values (Y)
% OUTPUT: Linear conversion can be done with Y = X*m + c;
% m - linear slope parameter
% c -... |
22d2af43d5346257810bc84123b61cfd15f61c5de3930c8eb9cab71670567127 | MATLAB | 884 | 37 | function [gamma, alpha, beta, loglik] = hmmFwdBack(initDist, transmat, softev)
% Calculate p(S(t)=i | y(1:T))
% INPUT:
% initDist(i) = p(S(1) = i)
% transmat(i,j) = p(S(t) = j | S(t-1)=i)
% softev(i,t) = p(y(t)| S(t)=i)
%
% OUTPUT
% gamma(i,t) = p(S(t)=i | y(1:T))
% alpha(i,t) = p(S(t)=i| y(1:t))
% beta(i,t) propto p(... |
97576546ad2705d67fb7a98d5040fbfbbb1feb2ac943d4909726cfe6ae3a978b | MATLAB | 884 | 31 | function [S] = facets_area_tetrahedron(a,b,c,d)
% FACETS_AREA_TETRAHEDRON Calcultes tetrahedron facets area.
%
% SYNTAX:
% [S] = FACETS_AREA_TETRAHEDRON(A,B,C,D)
% FACETS_AREA_TETRAHEDRON(A,B,C,D)
%
% [S] = FACETS_AREA_TETRAHEDRON(A,B,C,D)
% - A, B, C and D - are m by 3 matrices of (x,y,z) cartesian coordinates
... |
ab5746ec80ab8f71cfae47076252189cae99476cf1474212fdbd92cdce946101 | MATLAB | 884 | 26 | function [index, logicArray] = consecAboveThresh (inputVector, amplThreshold, spanThreshold)
%% >>> OPERATION >>>
% Finds n consecutive values above a certain threshold
% Marco Bocchio, 4/7/19
if size(inputVector,2) == 1;
inputVector = inputVector';
end
aboveThreshold = (inputVector > amplThreshold); %whe... |
bc1833718477d06ebda8898734536fa32ae248f7b8ef0b98d5bf2023db30d119 | MATLAB | 884 | 28 | %% Posterior predictive density for Bayesian linear Regression in 1d
%
%%
% This file is from pmtk3.googlecode.com
setSeed(1);
[xtrain, ytrain, xtest] = polyDataMake('sampling', 'sparse', 'deg', 2);
fitMethods = {@(x,y) linregFit(x,y), @(x,y) linregFitBayes(x,y)};
predictMethods = {@(x,y) linregPredict(x,y), @(x,y... |
d7dafd413c60b1372a71bde327f29306b76aa254cdfe44bd07540e0d791366f1 | MATLAB | 884 | 48 | function [pnt, tri] = read_vtk(fn)
% READ_VTK reads a triangulation from a VTK (Visualisation ToolKit) format file
% Supported are triangles.
%
% Use as
% [pnt, tri] = read_vtk(filename)
%
% See also WRITE_VTK
% Copyright (C) 2002, Robert Oostenveld
%
% $Id$
fid = fopen(fn, 'rt');
if fid~=-1
npnt = 0;
while... |
6407668dc9653d25ea4af0faed3b89929b7565636c3119f68b386687ec76ed82 | MATLAB | 885 | 40 | function [dtypechar,bytes_per_element] = matlabclass2dtypechar(matlabclass)
switch matlabclass,
case 'char',
dtypechar = 'c';
bytes_per_element = 1;
case 'int8',
dtypechar = 'b';
bytes_per_element = 1;
case 'uint8',
dtypechar = 'B';
bytes_per_element = 1;
case 'int16',
dtypechar = '... |
e98d2445d4142c47c93d3f74cae3c51f6afc8b47484f317d39ad297a01a1744a | MATLAB | 885 | 53 | function X = lyapslv(~,A,~,Q)
% called from 'dlyap' as: X = lyapslv('D',A,[],Q);
n = size(A,1);
assert(size(A,2) == n,'matrix A not square');
assert(isequal(size(Q),size(A)),'matrix Q does not match matrix A');
% Schur factorisation
[U,T] = schur(A);
Q = -U'*Q*U;
% solve the equation column ~by column
X = zeros(n... |
f2a7a9e43d64478f01f4322d4661ccb434cc783a77c4d63eabdfe14d8f0b9835 | MATLAB | 885 | 22 | % from http://www-stat.stanford.edu/~tibs/ElemStatLearn/
% See their book p47
fid = fopen('prostate.txt');
C = textscan(fid,'%f%f%f%f%f%f%f%f%f%f%s');
fclose(fid);
% rownum lcavol lweight age lbph svi lcp gleason pgg45 lpsa
names = {'lcavol', 'lweight', 'age', 'lbph', 'svi', 'lcp', 'gleason', 'pgg45', 'lpsa'};
istrai... |
6f1ff8c62b8ce807b95798309875738af3984ce03d86e3543aebed6f20e10053 | MATLAB | 886 | 25 | function kout = merge_seg(seg,kval)
% merge small voxels to neighboring clusters
%
% Alexandru V. Avram,
% NIH 2022
%
if nargin<2
kval = 1e4; % dummy value
end
% assign labels to spurious voxels denoted with 1e4
kout = seg;
disp(['Total of ',num2str(length(unique(seg(seg>0)))),' clusters found. As... |
a6c4bcc229db6de3c1cd59a71c84dd42cea3f51d42028c2d8581f0a129234b77 | MATLAB | 886 | 32 | function lf = leadfield_interpolate(pos, vol)
% LEADFIELD_INTERPOLATE interpolates the leadfield for a source at
% an arbitrary location given the pre-computed leadfields on a regular
% grid.
%
% Use as
% lf = leadfield_interpolate(pos, vol)
% Copyright (C) 2013, Vladimir Litvak
%
% $Id$
% express the position in ... |
d769ca8530df7cff3afcf7dbd51f51770c69457607fd0aaf573b64ae5dcdf5fb | MATLAB | 886 | 41 | % this demo replicates the exemple in the 'dynamical system theory' part
% of the 'principles of DCM' talk (SPM course, may 2013).
clear all
close all
nt = 3e2;
f_fname = @f_2d;
g_fname = @g_Id;
in.A = [-2 -16
4 -2];
in.dt = 1e-2;
x0 = [1;1];
theta = [];
phi = [];
alpha = 1;
sigma = Inf;
u =zeros(1,nt);
%... |
ee31d581e965704711124db4bd59e78569df03c38e0088eb4af71b9c5e631ffc | MATLAB | 886 | 31 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function [norm_matrix] = normalize_2zscore(data_matrix)
% concutenate trials to continuous signal
tmp = NaN(1, size(data_matrix,1) * size(data_matrix, 2));
size_counter = 0;
for itrial = 1:size(data_matrix, 1)
tmp(1, size_counter+1 : size_counter+size(data_matrix, 2))... |
704da6f5f5de1e6d2a8532e90ed50ecb4a10fefe4ce4b3580e49652b5d6a31b2 | MATLAB | 887 | 32 | % Parse the file 04cars.dat from
% http://www.amstat.org/publications/jse/datasets/04cars.txt
if 0
fid = fopen('04cars.dat');
%dat = textscan(fid, '%45c%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d%d');
while 1
tline = fgetl(fid);
if ~ischar(tline), break, end
disp(tline)
end
fclose(fid);
end
%Cosma Shalizi has already pa... |
b3808ad51225c9c4c04c6f9dee7673f3b84687da9b194e9dce9f9abc64b38042 | MATLAB | 887 | 33 | function clf = clfKnnTrain( clf, X, Y )
% Train a k nearest neighbor classifier (memorization).
%
% USAGE
% clf = clfKnnTrain( clf, X, Y )
%
% INPUTS
% clf - model to be trained
% X - nxp data array
% Y - nx1 array of labels
%
% OUTPUTS
% clf - a trained k-nearest neighbor classifier.
%
% EXAMP... |
b85cfb7985988d77fb232f75e7c240049fa2c9489c160d56f4556eff434c945c | MATLAB | 887 | 34 | function otherForm = onOff(originalForm)
% Convert 'on' and 'off' to true and false and vice-versa.
% TODO: support arrays/cell arrays of values.
otherForm = [];
% Special case 1 and 0 to be the same as true and false.
if isnumeric(originalForm)
if originalForm == 1
... |
c24b452fedcf6b9f163596f7664391c798a771d1de549a6a7c110322dd78ff9e | MATLAB | 887 | 54 | function [u_hori,u_vert] = UnWarpPlane(x1,x2,x3,x4);
% Recovers the two 3D directions of the rectangular patch x1x2x3x4
% x1 is the origin point, ie any point of planar coordinate (x,y) on the
% rectangular patch will be projected on the image plane at:
% x1 + x * u_hori + y * u_vert
%
% Note: u_hori and u_vert are a... |
db7186ba4202b73905f6602a8cd49bd1890c2c13a1c6554613b83bcfc2770aae | MATLAB | 887 | 30 | function HumanOdorRep_plot_sig_stars(pair, p, yheight, deltay)
% function to add sig stars to a barplot
%-----------------------------------------------------------------------------------------
% Kehl et al. 2024 (DOI:XX)
% Single-Neuron Representations of Odors in the Human Brain
% Author: Marcel Kehl
% License: MIT... |
98886e97569bcc96b8f14c184a579ecde02cc20239e2bf9a6788f9ab1f9a0f41 | MATLAB | 888 | 25 | function [dlc_files, pickle_files] = get_dlc_files_in_basepath(basepath)
% use dir to find all files in basepath
files = dir(basepath);
files = files(~ismember({files.name},{'.','..'})); % remove non-files
% get csv files
csv_files = files(contains({files.name},'.csv'));
pickle_files = files(contains({files.name},'.p... |
ba52dbb0093d37bf9855b59621b434f71f0b16faa8d355f6c7e869329d70bb97 | MATLAB | 888 | 31 | function offsetAxes(ax,varargin)
% thanks to Pierre Morel, undocumented Matlab
% and https://stackoverflow.com/questions/38255048/separating-axes-from-plot-area-in-matlab
%
% by Anne Urai, 2016
if ~exist('ax', 'var'), ax = gca; end
if isempty(varargin)
offset= 4;
else
offset= varargin{1};
end
% modify the x a... |
da06f39fdc1ffe10b5eba2967e9c4d4b30bec454d9f8d11d95c2e261620b2075 | MATLAB | 888 | 45 | function Cfg = DPABISurf_MultiEcho(Cfg)
% DPABISurf_MultiEcho
% Select multi-echo data analysis method.
%
% Usage:
% Cfg = DPABISurf_MultiEcho(Cfg);
if nargin < 1 || isempty(Cfg)
Cfg = struct;
end
CfgOriginal = Cfg;
figWidth = 320;
figHeight = 240;
fig = uifigure( ...
'Nam... |
4ded85a323b6fd2200db361ea16a7381a57805dd0e9877598bdc50b2b536c174 | MATLAB | 889 | 24 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef BlockVectorData < Entry
%BlockVectorData contains instructions for loading the Data types
% (See BlockVectorDataType.m) from the data portions of the file
% listed in the header... |
5217676f2278152c453399d2b6d679b8b13ab822ce1e82bfccb096827cce67cf | MATLAB | 889 | 28 | function Draw_ROIs_Through_Cortex_3_Views(Anat,roi,Conn,params)
% This function displays hemispheres with ROI spheres and sticks connecting
% them in 3 views.
Px=0;
Py=-110;
Pz=-125;
Txt='+';
Ctxt=[1,0,0];
disp('<<< Drawing ROIs and sticks on transparent brains, please be patient')
figure('Color','w','Position',[50... |
52fd6935d6e66327cbbfe014adee9f50087d047ca92f83f206daaef494a6e95d | MATLAB | 889 | 32 | % MF_SV Solve using multifrontal factorization.
%
% Typical complexity: same as MF_MV.
%
% Y = MF_SV(F,X) produces the matrix Y by applying the inverse of the
% factored matrix F to the matrix X.
%
% Y = MF_SV(F,X,TRANS) computes Y = F\X if TRANS = 'N' (default), Y = F.'\X
% if TRANS = 'T', and Y = F'\X... |
7265a1234995cdf6915f83155a35259f0f4b429a37dc8a49689578f8299411ab | MATLAB | 889 | 39 | function I = movieToImages( M )
% Creates a stack of images from a matlab movie M.
%
% Repeatedly calls frame2im. Useful for playback with playMovie.
%
% USAGE
% I = movieToImages( M )
%
% INPUTS
% M - a matlab movie
%
% OUTPUTS
% I - MxNxT array (of images)
%
% EXAMPLE
% load( 'images.mat' ); [X,map]=gray2ind... |
ba4040ff1b62e6a840e54ad2a9e41b9b13ceda96358e5e3ef55f1c5e970217a4 | MATLAB | 889 | 44 | %% cov2corr
%
% Convert (auto)covariance to (auto)correlation
%
% <matlab:open('cov2corr.m') code>
%
%% Syntax
%
% R = cov2corr(G)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% G a covariance matrix or autocovariance sequence
%
% _output_
%
% ... |
e4a8e2cfa4bd09dbf627988968d9ab8150071da3bdefac5df75229916ba48c57 | MATLAB | 889 | 34 | %
%forked from +util/read_indexed_column.m
%
%urut/jan'19
function data = nwb_read_unit(vector_index, vector_data, row)
%READ_INDEXED_COLUMN returns the data for a specific row of an indexed vector
%
% DATA = READ_INDEXED_COLUMN(VECTOR_INDEX, ROW) takes a VectorIndex from a
% DynamicTable and a ROW number and outpu... |
44a18d3d7c2746bc7af20e114133168e6ffa1b2544eec305d650e4448f59b891 | MATLAB | 890 | 29 | function X = full(T)
%FULL Convert a ttensor to a (dense) tensor.
%
% X = FULL(T) converts ttensor T to (dense) tensor X.
%
% See also TTENSOR, TENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgko... |
4f1f0c7be1c90bee61ca06d28fb5d0cb83f9c3795092729d42475c5221356f90 | MATLAB | 890 | 34 | function c = cond_2x2(A)
%COND Condition number with respect to inversion.
% COND2d(X) returns the 2-norm condition number (the ratio of the
% largest singular value of X to the smallest). Large condition
% numbers indicate a nearly singular matrix.
%
% COND(X,P) returns the condition number of X in 2-norm:
... |
57d91ed07bbe8c4c196419c0b1820bcca4bf4db3012c77a4fad20b536613b1ab | MATLAB | 890 | 32 | function m = size(t,idx)
%SIZE Size of a ttensor.
%
% D = SIZE(T) returns the size of the tensor.
%
% I = size(T,DIM) returns the size of the dimension specified by
% the scalar DIM.
%
% See also TTENSOR, TTENSOR/NDIMS.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tens... |
b04df09e8cc5b9e3eed06ab8b7cde69dbf66cd0fbc6a5b92f513434931371735 | MATLAB | 890 | 26 | clear all; close all; clc;
% import table
T=readtable('PatientData.csv');
% Memory recall
DV=T.PSD;
% compare values between groups
[p h stats]=ranksum(DV(T.RandomisationOrder==1), DV(T.RandomisationOrder==2),'method','approximate','tail','right')
% correlation in LF and HF group
DVB=T.MemoryTask2-T.MemoryTask1;
[r... |
c4b86fd3e9d15994fb4ae7dbfffffd509216962cf2ebcc166e8d4e8725ef3629 | MATLAB | 890 | 23 | function [nchannel, idxgrid] = getgridconfigOEphys(ports, adapter)
% find the ports from the Quattrocento with a grid
idxports = find(ports == 1);
% get the indexes of the grid
nchannel = 0;
ch = 1;
for i = 1:sum(idxports)
if contains(adapter{i}, 'GR04MM1305') || contains(gridname{i}, ... |
3bed0265a30cf04fa106f63fe8c71ea452c73b51097e3e6d10cda95b122fb49d | MATLAB | 891 | 32 | function model = linregRobustLaplaceFitLinprog(X, y)
% Minimize the L1 norm of the residuals using linear programming
% We assume X is an N*D matrix, with no column of 1s
% model.w = [w0 w1 ... wD], where w0 is the bias
% PMTKneedsOptimToolbox
% PMTKauthor John D'Errico
% PMTKmodified Kevin Murphy
% PMTKurl http://ww... |
54ae4227c1ca7ff59c28ab575fabc19398689934528d78e9aa3f083959bc8442 | MATLAB | 891 | 33 | function siz = size(a,idx)
%SIZE Return size of sptenmat.
%
% D = SIZE(T) returns the size of the tensor.
%
% I = size(T,DIM) returns the sizes of the dimensions specified by DIM.
%
% See also SPTENMAT.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. K... |
73e05ac01ad333812640dffc71f7beb849c39dd639064b0fe838107c489ce749 | MATLAB | 891 | 31 | function n2 = dist2(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean distance between them. Both matrices must be of
% the same column dimension. If X has M rows and N columns, and C has
% L rows... |
eb0c2f9c4b88228d3ee1c7f3cf117e937fd66bc798d60c593635a0ef4dd4fa1f | MATLAB | 891 | 39 | %% Bayes factor for handedness/ gender data
% This file is from pmtk3.googlecode.com
clear all
sfs = [1 2 3 4 5];
Nsf = length(sfs); BF10vsN = zeros(1,Nsf);
for i=1:Nsf
sf = sfs(i);
y1 = 9*sf; n1 = 52*sf; y2 = 4*sf; n2 = 48*sf;
N(i) = n1+n2;
alphas = [1 1];
logZ = betaln(alphas(1), alphas(2));
logmarglik0 = ...
bet... |
6473048878053247d10e900b139d88a4412e3b12e34714298bde3b47cebb55e7 | MATLAB | 892 | 30 | function w = linregFitGroupLassoProj(X, y, groups, lambda, winit)
%% Fits the group lasso model
% This file is from pmtk3.googlecode.com
nVars = size(X,2);
if nargin < 5, winit = zeros(nVars,1); end
nGroups = max(groups);
lambdaVect = lambda*ones(nGroups,1);
funObj1 = @(w)SquaredError(w,X,y);
funObj2 = @(w)groupL1re... |
6db6c86fe4143c615e41772e45655af9417df2f34934bf131fb7daccb212fd44 | MATLAB | 892 | 34 | % key = waitforkeypress(keys)
function key = waitforkeypress(keys)
keynums = zeros(size(keys));
for i = 1:length(keys),
if length(keys{i}) == 1,
keynums(i) = double(keys{i});
elseif strcmpi(keys{i},'enter') || strcmpi(keys{i},'return'),
keynums(i) = 13;
elseif strcmpi(keys{i},'backspace'),
keynums(i)... |
93f7c17bca6e81d34bf2bdb7fcbdbf78aee8a055677a97ecbb2ae8b5e532411a | MATLAB | 892 | 31 | function Z = mrdivide(X,Y)
%MRDIVIDE Slash right division for tensors.
%
% MRDIVIDE(A,B) is called for the syntax 'A / B' when A is a tensor and B
% is a scalar.
%
% Example
% X = tenrand([4 3 2],5);
% X / 3
%
% See also TENSOR, TENSOR/RDIVIDE.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.... |
a39d8fef676d0cb4dad0aa973dde8e66b28f49303913c6517be48d6e22f6fc3c | MATLAB | 892 | 31 | function Z = mldivide(X,Y)
%MLDIVIDE Slash left division for tensors.
%
% MLDIVIDE(A,B) is called for the syntax 'A \ B' when A is a scalar and B
% is a tensor.
%
% Example
% X = tenrand([4 3 2],5);
% 3 \ X
%
% See also TENSOR, TENSOR/LDIVIDE.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.... |
d0128d6cb5e0566e945c35ec1a6e7d539c7e51aa3892785294cc9b42c840a95c | MATLAB | 892 | 20 |
for total_wab_queue = 1:(shifting_key_n.*length(stitching_queue))
[kk, mm] = ind2sub([length(stitching_queue), shifting_key_n], total_wab_queue);
asdasdasd = trform_2_pfor{total_wab_queue};
asdasdasd = flip(asdasdasd);
if rssq(asdasdasd)>5
img_temp_1_max = image_observatory{total_wab_q... |
9314700dcb9e06453930be58bc4ebdb0aa563db2994d39954efc3d34493ccf8a | MATLAB | 893 | 40 | function [ns, STEP, DELAY] = conveRT (s, g, typestat)
%Function converts statistics concerning reaction time from model units to milliseconds.
TALL = find (typestat == 2);
DALL = find (typestat == 3);
ns = s;
sumsT = sum (s (TALL));
sumsD2 = sum (s (DALL) .^ 2);
if sumsT == 0 & sumsD2 == 0
STEP = 0;
DELAY = 0;
els... |
9cfc6d9b5c2a5876fa9c80342a97b0e9c53d09a8ad8016cd264e41630e844ae2 | MATLAB | 893 | 37 | function [tf,f0,p0] = findLabelNear(s,frm,itgt,fdir)
% find labeled frame for itgt 'near' frm
%
% fdir: optional. one of +/-1, +/-2, [] (default) to search above,
% below, or in either direction relative to frm
if nargin<4
fdir = [];
end
if isempty(itgt),
istgtmatch = true(size(s.frm));
else... |
9fb9e28c828b4d161f18c51e885ba999d17e0c2806c446f6649640ac1393afe7 | MATLAB | 893 | 33 | function m = size(t,idx)
%SIZE Size of ktensor.
%
% D = SIZE(T) returns the size of the tensor.
%
% I = SIZE(T,DIM) returns the size of the dimension specified by
% the scalar DIM.
%
% See also KTENSOR, KTENSOR/NDIMS.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor... |
b3a0b59e12148ba612d47c4336b1c77fb04ec5ebe5d0e3977ad32c3e1e5c89bc | MATLAB | 893 | 27 | function filelist=nc_generate_file_list(fromdir, folder_prefix, file_prefix, file_suffix, second_folder)
filelist={};
folders=dir(fullfile(fromdir, [folder_prefix, '*']));
if isempty(folder_prefix) == 1
folders(1:2)=[];
end
for i=1:numel(folders)
one_dir=fullfile(fromdir, folders(i).name, second_fold... |
c001c306e033b95cc62b85d095abcc13e792b4de8bb92fc8a3707467dfc8ae5b | MATLAB | 893 | 21 | function max_run_jobs = concurrency_size_in_calculateDescriptorsInParallel(cond)
loadParameters;
if ~isfield(params,'CALC_DESC_MAX_RUN_JOBS')
if params.USE_GPU_CUDA
job_worker_mem_usage = 10 * cond.downsample_imgsize_dbl + params.MATLAB_PROC_CONTEXT;
else
job_worker_mem... |
4037aa75d788e6a0eecccddc8a8b26cb7b9eb4b1fddf2531972ce17a7568666b | MATLAB | 894 | 34 | function X = tenones(varargin)
%TENONES Ones tensor.
%
% X = TENONES(SZ) forms a tensor of size SZ with all ones.
%
% TENONES(SZ) is equivalent to TENSOR(ONES(SZ(1),SZ(2),...),SZ).
%
% See also TENSOR, ONES.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. ... |
40ce62506b2c6c5de408c17a107dde084d68b07776eeade0ace29ff5dd462957 | MATLAB | 894 | 34 | function [file_list_to_load, file_size, flcount] = import_tif_v4 (dataset_name, file_path, pixel, sliceNum, flyback)
import ScanImageTiffReader.ScanImageTiffReader
file_size = [];
flcount = 0;
for i = 1:31
file_name = [dataset_name '_' num2str(i,'%05d') '.tif'];
fn = fullfile(file_path, file_name);
if e... |
6906ba6aa8bb151982c238b5a609e121907f2dc6d3acad3132c60e44c8a56901 | MATLAB | 894 | 36 |
% _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% gets spiketimes of already sorted spikes
% from current channel's nerve
function [spiketimes,... |
5ca1c490e79f476df8126e50986ea91118edd99976c52ff1736b58becb232a56 | MATLAB | 895 | 22 | function P2 = readpdf(P0,xg0,yg0,xg1,yg1,x0,y0,th0)
% Translate/rotate an existing PDF to a new location/orientation and return
% the resulting PDF.
%
% THE RESULT IS NOT (RE)NORMALIZED AND MAY NOT SUM TO 1 OR TO THE ORIGINAL
% NORMALIZATION WHATEVER THAT MAY BE.
%
% P0: [ny x nx] array
% xg0: [ny x nx] xgrid (origin... |
61aa6f22a71c6b8c209a5ba2b7726a4c9ed1d50f2c7ab9f907481e4ff40df26e | MATLAB | 895 | 28 | % SPPUSH2 Append to 2-array sparse matrix representation.
%
% [I,J,NZ] = SPPUSH2(I,J,NZ,IA,JA) overwrites I(NZ+(1:N)) = IA and
% J(NZ+(1:N)) = JA, where N = LENGTH(IA) = LENGTH(JA), and replaces
% NZ := NZ + N, appropriately reallocating and expanding the capacities of I
% and J as needed.
%
% Note: This fun... |
c9602ae51815d9b815dab7211195c24b2e80859546ec342ab42a16df67902424 | MATLAB | 895 | 24 | % finish spectrogram,psd,and bandpower calcalation
% Edited by Jerry. 10/11/2022
function [Clkfy,Clktx,Clk_SPGM,Clkfw,Clk_PSD,Clk_deltaBP,Clk_betaBP]=...
GetFrequencyAnalysis_221011(params,ClkLFP)
% get parameters
% spectrogram and fft parameters
sps = params.SampleRate; % sample rate
specNfft = pa... |
01de9d04e56a18802af84c3864e66ff209ee5d93b881eb4a206b91aeb5e306d8 | MATLAB | 896 | 28 | function [frMean, frSE, countRaw, frSD, trials] = calFR(spikes, window, trials)
if ~iscolumn(trials)
trials = trials';
end
trialN = length(trials);
spikes(~(spikes(:,1) >= window(1) & spikes(:,1) <= window(2)),:) = [];
if size(spikes, 2) == 1
temp = tabulate(spikes(:, 1));
elseif size(spikes, 2) == 2
... |
15bdf78668838bc19338a572ff94e6859d44e827af93b15757600a6830b3a767 | MATLAB | 896 | 46 | function [G, names] = parseAlarmData()
% data from http://www.cs.huji.ac.il/site/labs/compbio/Repository/Datasets/alarm/alarm.net
T = removeEmpty(getText('alarm.net'));
names = {};
for i=1:numel(T)
line = T{i};
if startswith(line, '(var')
toks = tokenize(line);
V = toks{2};
names = i... |
8ce7b1a7b4f3b4b973ffeb7c4b6422261efc5a75dbe6583d499a338bbed27a02 | MATLAB | 896 | 41 | %% Fit linear and quadratic surfaces to data
% Based on code by Romain Thibaux <thibaux@eecs.berkeley.edu>
%%
% This file is from pmtk3.googlecode.com
loadData('moteData'); % X,y
N = size(X,1);
for useQuad = 0:1
if ~useQuad
Phi = [ones(N,1), X];
else
Phi = [ones(N,1), X, X.^2];
end
w ... |
50e29346434affd3bb587b3aaf5a88f5b56db1b806c1813bdaa2ac987679f95e | MATLAB | 897 | 30 | % changeaxisunits(factorx,factory)
% changeaxisunits(factorx,factory,hax)
% Changes the units of the x and y axes.
% Suppose the original units of the x axis is frames and the original unit
% of the y-axis is pixels, and we want to change to seconds and
% centimeters, respectively. If a frame is .05 seconds and a pixe... |
e4f93ecd3213325da475a2e324b960e7f3aa97907059add2967e5269a9a902f9 | MATLAB | 897 | 36 | function y = VBA_sample(form,suffStat,N)
% legacy code
s = warning ('on');
warning ('*** The function `VBA_sample` is now deprecated. Please see `VBA_random` for an alternative.')
warning (s);
if nargin < 3
N = 1;
end
switch form
case 'gaussian'
if isscalar(suffstat.mu)
N = {1, N};
... |
f06cb985ecfc5526b2a4876dd20c61f18359fcd63ed5951b42cc83267bf919e9 | MATLAB | 897 | 70 | % _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% callback when main window is closed
function close(self,~,~)
path_name = self.path_name;
pref... |
cda9d099c878e7010517186a432d7861c68b23757b747153c24f670c7ad35b4c | MATLAB | 898 | 30 | % This script is an adaptation of Dr. J. Fortin's original source code.
% The original source code can be found at https://github.com/Jfortin1/ComBatHarmonization/tree/master/Matlab
% indices = batches{j};
% sdat = s_data(:,indices);
% ghat = gamma_hat(j,:);
% dhat = delta_hat(j,:);
% g.star is first row
% d.star is s... |
f157c002cc32c6b98bf3e10876e6d5561dd680698eca247564346324593387f9 | MATLAB | 898 | 51 | function sub_s=subsets1(s, k)
% Creates sub-sets of a specific size from a given set
% SS = subsets1(S, k)
%
% S is the given set
% k is the required sub-sets size
%
% Example:
%
% >> ss=subsets1([1:4],3);
% >> ss{:}
% ans =
% 1 2 3
% ans =
% 1 2 4
% ans =
% 1 3 4
% ans =
% 2... |
00b790c4939d88cca04972e506c2a5f686fc62dbf3353a7ddb7ec2e116a7e2f1 | MATLAB | 899 | 34 | function [gx,dgdx,dgdp] = g_HRF_distributed(Xt,P,ut,in)
% observation function for distributed HRF Balloon model (DCM for fMRI)
% function [gx,dgdx,dgdp] = g_HRF(Xt,P,ut,in)
% This function evaluates the hemodynamic static observation equation
% function.
if isfield(in,'fullDCM') && in.fullDCM
ind_profile = in.ind... |
b70f5d9815692e856cc6d2c344c6b86af0bc1291999e4d93a8578b5d6d31ec63 | MATLAB | 899 | 37 | function logp = dirichletLogprob(arg1, X)
% logp(i) = log p(X(i, :) | alpha)
% logp = dirichletLogprob(alpha, X) OR logp = dirichletLogprob(model, X);
% *** X is automatically appended with [X, 1-sum(X, 2)] ***
%
% If model.alpha is a scalar, it is automatically replicated to the right
% size.
%
%*** Note, values outsi... |
fd5e74ea9614a3405b75af1ad58ba85402431dbd3defc179eb77d0521b1c5a3f | MATLAB | 899 | 43 | %% Create a 3D vesicle template
% Author: Antonio Martinez-Sanchez
% r: radius
% t: thickness
% s: size of the template (should be odd)
% w: wedge semiangle in degress
% rw: angle rotation for the wedge
% mode: 1-> hard in range [-1,1], 2-> hard in range [0,1], otherwise -> soft
% T: output 3D template
function [T] = ... |
477b020ba25a6fd1a437a509fa755fda364c66ae3a7361e3bdf49b428cd507a3 | MATLAB | 900 | 32 | function [Results] = normality(x, alpha)
% alpha=0.05;
n=length(x);
y=sort(x);
% D'AGOSTINO - PEARSON TEST
beta2=(3*(n^2+27*n-70)*(n+1)*(n+3))/((n-2)*(n+5)*(n+7)*(n+9));
wsquare=-1+sqrt(2*(beta2-1));
delta=1/sqrt(log(sqrt(wsquare)));
alfa=sqrt(2/(wsquare-1));
expectedb2=(3*(n-1))/(n+1);
varb2=(24*n*(n-2)*(... |
48c006c6957af310cee3d887c2f2628c2d7cd9196515e6078f337e6b5c77dc06 | MATLAB | 900 | 30 | function [model, bestParams, CVmu, CVse] = svmlightFitCV(X, y, varargin)
% Fit an svm using svmlight setting C and/or the kernelParam via cv.
% This file is from pmtk3.googlecode.com
[C, kernelParam, kernelType, saveAlphas, cvopts, svmopts] = ...
process_options(varargin,...
'C' , [] ,...
... |
aef87ab0f897cfd34e29f9c783fd5cf15e30bb62e16a207d01bc348b1e021376 | MATLAB | 900 | 26 | function Z = times(X,Y)
%TIMES Array multiplication for tensors.
%
% TIMES(A,B) is called for the syntax 'A .* B' when A or B is a
% tensor. A and B must have the same size, unless one is a scalar. A
% scalar can be multiplied by a tensor of any size.
%
% See also TENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright ... |
bbe98a9b5b2a8927200174b8cf5b7e3cac29fefce9c7e5797fea128dc18d5574 | MATLAB | 900 | 37 | %% K-means clustering for Height Weight data
%
%%
% This file is from pmtk3.googlecode.com
rawdata = loadData('heightWeight');
X = [rawdata(:,2) rawdata(:,3)]; % height, weight
[styles, colors, symbols] = plotColors();
plotArgs = {'linewidth', 1.5, 'markersize', 10};
figure();
plot(X(:, 1), X(:, 2), [symbols(1), co... |
220b751a31dac54f1ec7b47da99095e38e7e98ee4ae9b37d2670ca0c09b8e5da | MATLAB | 901 | 27 | function imroi = montageImPadGrab(im,xc,yc,rad,th,tfAlign,padval)
% grab a patch form an image centered around a certain point
% im: image
% xy/yc: center of patch
% rad: radius
% th: (optional) angle. only used if tfAlign
% tfAlign: logical. if true, grab patch with rot as given by th
% padval: backgroun... |
d3300bbd09565e5699c065794b3632980c4267c6e878af7ef79eb920558d740e | MATLAB | 901 | 45 | function [header] = jbm_parseHeader(fn)
imginfo = imfinfo(fn);
imginfo = imginfo.ImageDescription;
input = imginfo;
tempstring = {};
index = 0;
tempcell = strread(input, '%q');
for lineCounter = 1 : length(tempcell)
data = tempcell{lineCounter};
if strncmp(data, 'state.', 6)
index = in... |
01dc23d787499f4a59a2c86fe7872936aeaf4e2315205d937c35f7d03210195f | MATLAB | 902 | 24 | %% 统计特征 | statistical features
%% 过零率 | Zero-crossing rate
% X: single channel EEG signal (either a row vector or a column vector)
%% Reference
% [1] Şen, B., Peker, M., Çavuşoğlu, A., and Çelebi, F. V. (2014). A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and ... |
05d40968d4a6939191a73f8cf07197416122b936b5a68cf61cf4bbf5b370b25d | MATLAB | 902 | 53 | function [C,lambda,S] = shrinkcov(X)
% Ledoit-Wolf optimal shrinkage estimator for cov(X)
%
%
%
% C = lambda*T + (1-lambda)*S
%
% using the diagonal variance "target" T=diag(S) with the
% unbiased sample cov S as the unconstrained estimate
% This file is from pmtk3.googlecode.com
%PMTKauthor Baback Moghaddam ... |
26d7d49172ee2c926dd6cfe131bd395fb65640d55b12a9d8e3787d629e2ed3fb | MATLAB | 902 | 37 | function texto = plus_text(texto1, agre)
% v.0.3
%
%
%
if nargin == 0
texto{1,1} = [' _ '];
texto{2,1} = [' TOOLBOX: ' lanversion('l') ' '];
texto{3,1} = [' '];
texto{4,1} = [' laboratorio de analisis... |
4d7cc50059daf6e96f1981500bc83bdcc5e2ac6ff1721bd67e91d66a29d81a73 | MATLAB | 902 | 24 | % 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.
%
% This program is distributed in the hope that it will be useful,... |
6b1caa6a56eaab8cbd49d4d6e71afdd15acde8ed824dcbf408d11e487d2a3c08 | MATLAB | 902 | 33 | function gridDispProgress(~, totalCount)
% gridDispProgress.m
%
% Prints the progress and estimated remaining time, even in a parfor loop
%
% Example Usage:
%
% D = parallel.pool.DataQueue;
% num_files = 10;
% gridDispProgress(1, num_files);
% afterEach(D, @gridDispProgress);
% tic
% parfor ithParamSet = 1:num_files
% ... |
bc608f2564d5c2db51dc0ec3c3da5d0c3b99b6be876ecb6a33b25467afbc2e66 | MATLAB | 902 | 37 | function D = diff2d( I, k, h )
% DIFF2D Differentiation in 2D images
% INPUT:
% Is - Input image
% k - Dimension 1: x-dimension, otherwise: y-dimension
% h - Step size
% OUTPUT:
% D - Output tomogram
%
% See also: diff3d, dtvoting, dtvotinge
%
% AUTHOR: Antonio Martinez-Sanchez (an... |
0a5373851c34bf022609f037047201a21d5167e155635fdfb73260fdb4466d14 | MATLAB | 903 | 34 | function [post, a] = gmmpost(mix, x)
%GMMPOST Computes the class posterior probabilities of a Gaussian mixture model.
%
% Description
% This function computes the posteriors POST (i.e. the probability of
% each component conditioned on the data P(J|X)) for a Gaussian mixture
% model. The data structure MIX defines th... |
25bfea20f6c1f173c5ab551c68a88eeadf7df289f23ed34a20ad597f68977308 | MATLAB | 903 | 21 | % 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.
%
% This program is distributed in the hope that it will be useful,... |
376af4fd116090b7ba41167b761a9af4d2f24d8787e9c2b24751768fe57f74fc | MATLAB | 903 | 45 | function back = textWaitbar(back,percent)
%
%-----------------------------------------
% back = textWaitbar(varagin)
%
% init: T=text_waitbar('Text');
%
% use: T=text_waitbar(T,percent);
%
% example:
% T=text_waitbar('Text');
% for i=1:200
% T=text_waitbar(T,i/200);
% pause(.03)
% ... |
46fad7773dd7f3cc44e938aa99567916df7afe544a71363f2a44d76b661eb0f7 | MATLAB | 903 | 29 | %% OLS on the prostate data set
% Should match table 3.3 on p63 of "Elements of statistical
% learning" 2nd edn
% (The OLS results should be identical - the fact that they are not
% suggests something strange is going on - most likely to do with
% the offset term, which should be unregularized.)
% Used to debug pros... |
19d976b5c3413120f82172ba944fd01c127f0b3703b369faa1728d68e7dfd058 | MATLAB | 904 | 37 | function img = makeRadialCheckerboard(pixelsPerDegree, sz, phase, contrast, thetaCycles, E, A, b)
%
% img = makeRadialCheckerboard(pixelsPerDegree, sz, phase, contrast, thetaCycles, E, A, b)
if nargin==0
pixelsPerDegree = 100;
sz = 5;
thetaCycles = 8;
E = 0.05;
A = 1; % 0.8;
b = 0.2; %.04;
... |
2b34800bb6743353cbd12310b348a19cce03de575d6934423e02243bad7f7197 | MATLAB | 904 | 35 | function [ filtered_data ] = fft_bandpass_filtering(data, srate, fband )
%FFT_BANDPASS_FILTERING ÀÌ ÇÔ¼öÀÇ ¿ä¾à ¼³¸í À§Ä¡
% ÀÚ¼¼ÇÑ ¼³¸í À§Ä¡
% data : time by channel or trials matrix
% srate : sampling rate
% fband : [low_bound high_bound]
n_tp = size(data,1);
n_ch = size(data,2);
Fs = srate; %... |
3fb72d889599610ac166868e178e86d841bdecb0cda65e787a6847e986911472 | MATLAB | 904 | 51 | function out = zipvects(in1, in2)
% 'zips' two vectors
% put in the same shape
in1 = in1(:);
in2 = in2(:);
n1 = length(in1);
n2 = length(in2);
% these have to be the same size
assert(isequal(n1, n2), 'inputs are not the same length');
% turn everything into cells
if iscell(in1) || iscell(in2),
if ~iscell(i... |
a383d2cc1080ff1fa82017be31bc80936d4d312f7b55f4d5ec2ddeda8906f7d7 | MATLAB | 904 | 17 | % Count number of responses (individual spots) in input array
% (ImageArray_DeltaGFPnMax_Reg2)
% count only responses that are in the chosen region (AllBoutonsRegion)
function RFNum_AllNMJ = CountResponses(ImageArray_DeltaGFPnMax_Reg2, AllBoutonsRegion)
LastImageNumber = size(ImageArray_DeltaGFPnMax_Reg2,3);
p... |
c0989e943fc657752231075e612424bb1bb73e38c3f6d9a401a208c1734544b7 | MATLAB | 904 | 40 | %===============================Preprocessing_Pipeline for MRI data===============================
% Geometric Distortions Correction - Compute topup
run('extract_vols.m');
run('merge_vols.m');
run('compute_topup.m');
% Slice Timing Correction
run('slice_timing.m');
%Motion Correction
run('motion_correction_unwar... |
65dc6f4a06990b5e7fdb72b4a90cac557d78d6da92ef26ad501cbc65ab8d9e47 | MATLAB | 905 | 22 | % 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.
%
% This program is distributed in the hope that it will be useful,... |
b543b72ea605a39ca53e2751b0d248f7b802fc9c856e100872d18afabeff6b22 | MATLAB | 905 | 34 | function printPmtkFigure(filename, format, printFolder) %#ok
% print current figure to specified file in .pdf (or other) format
% This file is from pmtk3.googlecode.com
%return; % uncomment this to enable printing
if nargin <2, format = 'pdf'; end
if nargin < 3, printFolder = []; end
if isempty(printFolder)
printF... |
d9e823863b5b07a82d3c997220ba7a7c3404ec4690be7c5017f78b10751b77b5 | MATLAB | 905 | 37 | function D = diff2d( I, k, h )
% DIFF2D Differentiation in 2D images
% INPUT:
% Is - Input image
% k - Dimension 1: x-dimension, otherwise: y-dimension
% h - Step size
% OUTPUT:
% D - Output tomogram
%
% See also: diff3d, dtvoting, dtvotinge
%
% AUTHOR: Antonio Martinez-Sanchez (an... |
5a880da6198d6cb1f9028f6a26101854dd6b734bd0e28a67d0c3b11c1508f093 | MATLAB | 906 | 31 | % CountRolls.m
% Sarah West
% 5/28/22
% Returns the number of data "rolls" (sliding/rolling window windows) that
% can come out of a data period, based on "duration."
% Inputs:
% duration -- the number of time points in a time period.
% windowSize -- the number of time points the window is across.
% stepSize -- the n... |
5fd1072d1bdf5bc10bce94dec31a0603c01619df3646b13671047d8ddee701f3 | MATLAB | 906 | 33 | function model = crf2Create(adj, nStates, varargin)
% Make a Conditional random field with pairwise potentials
% This is identical to mrf2Create
% except that we cannot create node and edge potentials
% until we have seen some data
% However, we let the user manually specify
% the edge weights w and the node weights v,... |
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