sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
481a7bf82e385ece05ed9a8788a75df21c2b884bccbd1febc98ac506ecdc13d3 | MATLAB | 2,507 | 76 | % eNDM General w/ Directionality
%
% Evaluate eNDM General predictions [y] at desired time stamps.
%
% Input:
% x0 = Initial Condition (n_ROI x 1)
% time_stamps = provided in units given by experiment (1 x n_t)
% C = connectivity matrix (n_ROI x n_ROI) - SHOULD BE
% ... |
103e729b0220492321d82fca73e33d0c861f17673a1e8ce5e3a0d4aef93c5627 | MATLAB | 2,509 | 103 | function [H, binsUsed] = HistISI(T, varargin)
% H = HistISI(TS, parameters)
% H = HistISI(TS, 'maxLogISI','maxLogISI',5) for fixed upper limit 10^5 msec (or 100 sec)
%
% INPUTS:
% TS = a single ts object
%
% OUTPUTS:
% H = histogram of ISI
% N = bin centers
%
% PARAMETERS:
% nBins 500
% ma... |
1d9d415aa8f71b35d8b65937f3f4af334c11c9a21e3cfa74409238498e48f5eb | MATLAB | 2,511 | 81 | function [cij,flag] = makerandCIJdegreesfixed(in,out)
%MAKERANDCIJDEGREESFIXED Synthetic directed random network
%
% CIJ = makerandCIJdegreesfixed(N,K);
%
% This function generates a directed random network with a specified
% in-degree and out-degree sequence. The function returns a flag,
% denoting wh... |
794718c74ae67056a52d13e2b5af382f7e7eafb6095a407114a8a9dca8c94ac6 | MATLAB | 2,513 | 72 | function T = spm_type(x, arg)
% Translate data type specifiers between SPM & MATLAB representations
% FORMAT T = spm_type(x, arg)
% x - specifier
% T - type
% arg - optional string argument, can be:
% - 'maxval' - return maximum allowed value.
% - 'minval' - return minimum allowed value.
% ... |
8bf29dcf85f8548ab3da71874a1c5f888165aceda0e861e277560cf4d146d028 | MATLAB | 2,519 | 131 | function [n] = card_3inter(L1, L2, L3, l1, l2, l3)
% count cardinalities of subsets L1&L2&L3 (n(7)), L1&L2\L3 (n(4)), L1&L3\L2 (n(5)), L2&L3\L1 (n(6)),
% L1\(L2|L3) (n(1)), L2\(L1|L3) (n(2)), L3\(L1|L2) (n(3))
% Li - a set
% li - number of elements in Li
% Author: Nino Shervashidze - nino.shervashidze@tuebingen.mpg.d... |
1c0e683efda458ebbf5a056c031236065e29cb3a139dea22be46c25b9b2b6bc0 | MATLAB | 2,524 | 85 | % ========================================================================
classdef alyxManagerHarness < alyxManager
%> @class alyxManagerHarness
%> @brief Test-only subclass exposing protected alyxManager seams.
% ========================================================================
properties
nextStatusCode do... |
ac9eb6e8ecab86e1da8ed9d145db882dc4b9b6f37ff673b9184a4c32b7489ff7 | MATLAB | 2,524 | 109 | function [W, info] = MTFLC_ADMM_WSolver...
(X, y, Th, Z, rho, lambda1, lambda2, opts)
%
% Multi-Task Feature Learning with Calibration - ADMM
% Subproblem: W
%
% Objective
% min_W { rho/2 sum_i^m ||theta_i/rho - z_i + y+i - X_iwi||
% + lambda2/2 ||W||_F^2 + lambda1 ||W||_{1,2}
% }
%
% IN... |
996813b4cc0857d5231e9632646ba857e82326ecf85f6b04536743c772666ff5 | MATLAB | 2,527 | 79 | function [mappedX, mapping] = isomap(X, no_dims, k)
%ISOMAP Runs the Isomap algorithm
%
% [mappedX, mapping] = isomap(X, no_dims, k);
%
% The functions runs the Isomap algorithm on dataset X to reduce the
% dimensionality of the dataset to no_dims. The number of neighbors used in
% the compuations is set by k (defau... |
f7804f6c8731cd94f747f8567125e32f4f1bb8387724322a937cebd9873b53b6 | MATLAB | 2,527 | 101 | function [K,elapse] = constructKernel(fea_a,fea_b,options)
% function [K,elapse] = constructKernel(fea_a,fea_b,options)
% Usage:
% K = constructKernel(fea_a,[],options)
%
% K = constructKernel(fea_a,fea_b,options)
%
% fea_a, fea_b : Rows of vectors of data points.
%
% options : Struct value in Matlab. The f... |
ee488cddc1c2de3dda2c312ae2f9439c983d36a98a5c893faa4c338e910bdcae | MATLAB | 2,530 | 82 | % This is an example of how to extract features using kernel-NMF
%%%%
% Copyright (C) <2012> <Yifeng Li>
%
% 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 3 of the License, or
%... |
40eed8620eff17a0a682960dcab94d3597608d396a6f44d027a4bb58b7f44b56 | MATLAB | 2,531 | 83 | %% file example_Dirty.m
% this file shows the usage of Least_Dirty.m function
% and study the group sparsity patterns.
%
%% OBJECTIVE
% argmin_W ||X(P+Q) - Y||_F^2 + lambda1*||P||_{1,inf} + lambda2*||Q||_{1,1}
% s.t. W = P + Q
%
%% LICENSE
% This program is free software: you can redistribute it and/or modify
% ... |
fc5d559122a8e474b015e525beee6383ba00bb638ee1164e4595cfd4eb37a7bb | MATLAB | 2,531 | 86 | function [ind, R] = nk_FEAST(Y, label, k, params)
global MODEFL VERBOSE
[~,n] = size(Y);
switch params.cmd
case 'discretize'
if VERBOSE; fprintf(' Discretize [ %g : %g : %g ]... ', ...
params.DISCRET.binstart,params.DISCRET.binsteps, params.DISCRET.binstop);
end
... |
e9d5e8895e921c5c357ac99ebce448fcc25ef9362d2f5237d7c44a0520a42d80 | MATLAB | 2,533 | 83 | function [varargout] = MIToolbox(functionName, varargin)
%function [varargout] = MIToolbox(functionName, varargin)
%
%Provides access to the functions in MIToolboxMex
%
%Expects column vectors, will not work with row vectors
%
%Function list
%"joint" = joint variable of the matrix
%"entropy" or "h" = H(X)
%"Conditional... |
364d00731a5bcb66c78e3ae9eef077931b7c9c4da69d8cff6f850e4efbc7ab1c | MATLAB | 2,534 | 62 | function TEMPL = nk_GenTemplParam(PREPROC, CV, MODEFL, RAND, Y, inp, kbin, paramfl, act)
if ~exist("act","var") || isempty(act), act = 'params'; end
% For factorization methods: TEMPLATE MAPPING
if PREPROC.BINMOD
ukbin = kbin; SrcParam.binmult = 1;
else
ukbin = 1; SrcParam.binmult = 0;
end
SrcParam.CV... |
074353d80f8b67868f0824dc769e673aafe2bf744ebfcac2baf8edb1dbef18cc | MATLAB | 2,536 | 95 | function [cc,A,B,U,V,lW] = palm_cca(varargin)
% Do CCA via QR & SVD.
%
% Usage:
% [cc,A,B,U,V] = palm_cca(X,Y,df)
%
% Inputs:
% X and Y : Arrays with N rows. The number of columns
% in each may differ. The ranks of X and Y
% are not checked for speed.
% df : Optional. Degrees of freedom (N - ra... |
db8005691b497c2374b7e2bb80fa1404769ef805d957c8cb7f8d6fb8a547bae4 | MATLAB | 2,548 | 87 | function [KKexpected] = RunOneKKwik(KKfn, FILEno, nKKFeatures, minClusters, maxClusters, varargin)
%
% [status, KKexpected] = RunOneKKwik(KKfn, FILEno, nKKFeatures, minClusters, maxClusters, varargin)
%
% Parameters
% USECONDOR = false
% SubSetRate = 1 % for 1/10 use 0.1 % for 1/100 use 0.01
KKwikName = 'Klust... |
3f40e8af271997a9d4e927502d28432476aed02d7b86cb37a4700179cf039443 | MATLAB | 2,552 | 63 | function PD_SSRT_MAIN(rootdir, filesdir)
% PD_SSRT_BEHAV_MAIN Main function for analysis of Stop Signal
% Reaction Time task of Parkinsonian patients implanted with deep brain
% stimulator.
%
% Input parameters:
% ROOTDIR path to directory to save results
%
% FILESDIR path to directory c... |
4143b553edba0d5961a2610a7b7b1b7af8432d670ad3750d1be827887f5c7881 | MATLAB | 2,553 | 84 | classdef awsManager < handle
% Use aws CLI command from MATLAB
% Can install cross-platform with pixi:
% > pixi global install awscli
%
% Secrets can be kept locally using setSecret('AWS_ID')
% and setSecret('AWS_KEY'), then passed with getSecret
% e.g.
% aws=awsManager(getSecret("AWS_ID"),getSecret("AWS_KEY"... |
1d460b5a09484a9acdc9768f140f3989b13c9911d7c39959c0f904bedabc180e | MATLAB | 2,556 | 79 | function err = reconstruction_error(O, R)
%RECONSTRUCTION_ERROR Computes the reconstruction error up to affine transformations
%
% err = reconstruction_error(O, R)
%
% The function computes the reconstruction error of the dataset R (given
% the original dataset O) up to all linear transformations. The
% function do... |
b197ec94bc203bdc248c75b17132b26fa7fc3705a3772e17521dc4d4e3f1bfb9 | MATLAB | 2,560 | 79 | function [T, VO] = nk_ResizeImg(P, Voxdim, BB, FileName)
% nk_ResizeImg -- resample images to have specified voxel dims and BBox
% nk_ResizeImg(P, voxdim, bb)
%
% Output images will be prefixed with 'r', and will have voxel dimensions
% equal to voxdim. Use NaNs to determine voxdims from transformation matrix
% of inpu... |
6228996bb600ee54af02bc0267853b29cd2eb5a82aab2b1c61757c5e99721414 | MATLAB | 2,572 | 66 | function [WCData, WCNames, WCPars] = feature_WaveletCoeffs(V, ttChannelValidity, ~)
% MClust
% [WCData, WCNames] = feature_WaveletCoeffs(V, ttChannelValidity)
% Calculate wavelet coefficients for each channel
%
% INPUTS
% V = TT tsd
% ttChannelValidity = nCh x 1 of booleans
%
% OUTPUTS
% Data - nSpikes x (NC*n... |
fdc32a585f1fc44a615810a6d7e4f82bf288d6957a06c6c3a04080b3d700e1da | MATLAB | 2,572 | 62 | function [ParcellationAtlas, act] = cv_ExtGraphConstr_config(ConstructionMethod, ParcellationAtlas, defaultsfl, parentstr)
global NM
if ~exist('defaultsfl','var') || isempty(defaultsfl); defaultsfl = false; end
if ~defaultsfl
if (~exist('ParcellationAtlas','var') || isempty(ParcellationAtlas));
Parc... |
c2e6d19aea04cb9ee819c503e1d29ea99c37f9481e6c8e8c672fc14e4bdcc060 | MATLAB | 2,577 | 86 | function p = tcdf(x,v,uflag)
%TCDF Student's T cumulative distribution function (cdf).
% P = TCDF(X,V) computes the cdf for Student's T distribution
% with V degrees of freedom, at the values in X.
%
% The size of P is the common size of X and V. A scalar input
% functions as a constant matrix of the same siz... |
bb99cd469049d4870cd84598579a93ae46dad3dc2744419b887d85eb70880106 | MATLAB | 2,580 | 96 | function [t, wv] = LoadTDT(varargin)
global hTTI;
global TTICurrentServer TTICurrentTank TTICurrentBlock TTICurrentEvent TTICurrentChannel;
TTI_ext = '.mc';
filename = '';
flag = 0;
if nargin == 1
filename = varargin;
elseif nargin == 2
if strcmp(varargin{1}, 'get')
switch (varargin{2})
c... |
62fea2b8110e0dc7ea93871580d1b851b4193afa2addf8957c77f4f3462d1c62 | MATLAB | 2,581 | 88 | function [ out ] = predictBBQ( bbq, PTE, option )
% This function used for calibrating the probabilities
% Input:
% - bbq: the BBQ model
% - PTE : vector of Uncalibrated probabilities
% - option: 0 use model selection, 1 use model Averaging
% Output:
% - out : vector of calibrated probabili... |
1cfc61a74d8592843024d069b59c528798aa7f757a87d44cba4d31f7c52c2ab8 | MATLAB | 2,587 | 106 | function [W, funcVal] = Least_NCFGLassoF1(X, Y, lambda, gamma, opts)
% Non-Convex Fused Group Lasso with Least Squares Loss (Formulation 1).
% By Jiayu Zhou (jiayu.zhou@asu.edu) Dec. 2011
% Objective (Non-Convex):
% argmin_W { \sum_{i=1}^t (0.5 * norm (Y{i} - X{i}' * W(:, i))^2)
% + lambda * \sum_{i=1}^d... |
e06f72c8fa55b180ac344bfd061e7535f7c6d38cfb4c8617426a5dea412b2a9a | MATLAB | 2,590 | 82 | %% photometryPriProcess
% This function reads the csv file and cut before and after movie recording
% fit data to correct the drifting effect: two term exponential
% correct movement flactuations by 405 ch
% get zscore of 470
% Inputs:
% ca_file: data of 405 and 470, 2nd column is the data
% event_file: d... |
4952f9b555156b81b73a70975ff9a612c32351c13deacac13e501986317324cd | MATLAB | 2,599 | 91 | % demonstration file for NMFLibrary.
%
% This file illustrates how to use this library.
%
% This file is part of NMFLibrary.
%
% Created by H.Kasai on July 24, 2018
% Modified by H.Kasai on July 30, 2018
clc;
clear;
close all;
%% generate synthetic data of (mxn) matrix
m= 150;
n = 150;
V = rand(m,n);
%% Initialize... |
c6903bdc4d0f07eb9ee98794e5647701ba560b6ad7c384d119ecd1507a31476d | MATLAB | 2,599 | 72 | function corrmapfig(coefD,pvalD,normtype,times,timinx,f,patnm,condi,side,event,evty,act_chan,figdir,correct, varargin)
% CORRMAPFIG Correlation map figure
% CORRMAPFIG(coefD,pvalD,normtype,times,timinx,f,patnm,condi,side,event,evty,act_chan,figdir)
% Generates a figure of correlation map COEFD, contours signifi... |
49b79e10393b99244dacc782115958b7a7f7a8019b15ec3901a6ba5bfd339976 | MATLAB | 2,606 | 82 | function [id, rect] = CreateProceduralPseudoYellowGrating(windowPtr, width, height, color1, color2, color3, color4, radius)
% Global GL struct: Will be initialized in the LoadGLSLProgramFromFiles
% below:
global GL;
% Make sure we have support for shaders, abort otherwise:
AssertGLSL;
if nargin < 3 || isempty(window... |
33d5269c0a9e3714f575c4f41090e10c6f9a6d10d212b473fad2fcd872b03604 | MATLAB | 2,617 | 108 | % Test file for GNMF and SDNMF
%
% Created by Deng Cai
% Modified by H.Kasai on July 21, 2018
clc;
clear;
close all;
dataset = 'COIL20';
%dataset = 'PIE';
%% load CBCL face datasets
fprintf('Loading %s dataset ... ', dataset);
if strcmp(dataset, 'COIL20')
load('../data/COIL20.mat');
fea = AllSet.X';
... |
edd5da2c27f8b0c9537f14ac5afadaa8aeb9355dd00755c3ddee852a95c71625 | MATLAB | 2,622 | 106 | function [R2,out]=rsquared(x,y,kmax,method,h)
%RSQUARED calculates the R-squared value of the robust or classical PCR/PLS analysis. This function
% is used in rpcr.m and rsimpls.m.
%
% The Robust R-squared is described in:
% Hubert, M., Verboven, S. (2003),
% "A robust PCR method for high-dimensional regressor... |
8d6a0a44b4f8533068a41e7937419b481c05eb29e9d901aaa6d897af8315e1a2 | MATLAB | 2,623 | 87 | function [f, ax] = barMLI(casenum, MLIcont, feats, refdata, sortfl, uiaxes, uiaxes2) %newdata
if exist('uiaxes','var')
ax = uiaxes;
f=0;
else
f=figure;
f.Position = [100 100 750 750];
ax = gca;
end
hold(ax,'on');
nF = numel(feats);
y = MLIcont.Y_mapped(casenum,:);
y_ciu = MLIcont.Y_mapped_ciu(case... |
1b276ae6c25bdbc70690c500980c291e70884133b77b68f7501b03ad2b6b92a9 | MATLAB | 2,626 | 97 | function demo_nenmf()
%
% demonstration file for NMFLibrary.
%
% This file illustrates how to use this library.
% This demonstrates NeNMF with multiplicative updates (MU) algorithm and
% hierarchical alternative least squares (Hierarchical ALS) algorithm.
%
% This file is part of NMFLibrary.
%
% Created by H.Kasai on... |
81aa2dfb88ea181987d34e377a45c8b8c53c0703c0ad24ae9356cc9232c93bcc | MATLAB | 2,626 | 74 | function [idx_feat, weights, score] = gflip(X_train, Y_train, extra_param, cpus)
% [idx_feat, score] = gflip(X_train, Y_train, extra_param);
%
% input: X_train(i,j) is the value of feature j in training instance i.
% Y_train(i) is the label of training instance i.
% extra_param is a struct that may conta... |
f616e00904dae93ec313b5a77cf66c21fe496c3506ddf9594decea57dcb272b7 | MATLAB | 2,626 | 108 | %Demonstrates the mvrvm algorithm on a toy example. Part of the code was
%derived from Tipping's matlab code for top down rvm for sing variate
%output.
% @file mvrvm_example.m
% Author Arasanathan Thayananthan ( at315@cam.ac.uk)
% (c) Copyright University of Cambridge
%
% This library is fre... |
022726fdbe4507c90a3df33b55cab87853b035df07de89da6dc42b23d4e21906 | MATLAB | 2,627 | 105 | function [W, funcVal] = Least_NCFGLassoF2(X, Y, lambda, beta, opts)
% Non-Convex Fused Group Lasso with Least Squares Loss (Formulation 2).
% By Jiayu Zhou (jiayu.zhou@asu.edu) Dec. 2011
% Objective (Non-Convex):
% argmin_W { \sum_{i=1}^t (0.5 * norm (Y{i} - X{i}' * W(:, i))^2)
% + lambda * \sum_{i=1}^d \sqrt{ \|R... |
fd4b36c1d72991b301a566c3389992c6b2f6deed93bfebba7a8da76425d50f07 | MATLAB | 2,637 | 67 | function [ PRUNE, PX, act ] = nk_Prune_config(PRUNE, PX, parentstr, defaultsfl)
PruneZero = 1; PruneNan = 1; PruneInf = 1; PrunePerc = [];
if ~exist('defaultsfl','var') || isempty(defaultsfl); defaultsfl = false; end
if ~defaultsfl
if isfield(PRUNE,'zero'), PruneZero = PRUNE.zero; end
if isfield(PRUNE,'n... |
fc1349390b8cd178942a34fd07131ad154356ab838a5eef5707dee0eb6a2ba76 | MATLAB | 2,640 | 76 | function [ param, act ] = nk_DECTRE_config(prog, param, modefl, defaultsfl)
if strcmp(modefl,'classification'), modefl = 'binaryclass'; end
if ~exist('defaultsfl','var') || isempty(defaultsfl), defaultsfl = true; end
probflag = 0;
cachesize = 500;
shrinkheur = 1;
termcrit = 0.001;
weighting = 0;
act = 0;
if isfield(... |
c620787efda2946761977b5349168ac95c0e44ad25859eaf5c35fc7bc28cb28e | MATLAB | 2,641 | 90 | function varargout = dtype(varargin)
% file_array's dtype property
% FORMAT varargout = dtype(varargin)
% For getting the value
% dat = dtype(obj)
%
% For setting the value
% obj = dtype(obj,dat)
%__________________________________________________________________________
% Copyright (C) 2005-2017 Wellcome Trust Centre ... |
d37ab0c8d0a482b13290b224eb456fd8ee4a6eb0f2e4bd218e5c37c343beb31b | MATLAB | 2,649 | 78 | function [imputed_data]=SeqkNN(data, K, traindata)
% SeqKNN: Sequential KNN imputation method
% This function estimates missing values sequentially from the gene that has
% least missing rate in microarray data, using weighted mean of k nearest neighbors.
%
% <Usage>
% imputed_data=SeqKNN(data, k);
%
% <Arguments>
% da... |
5f659afee0837ff383cee088a700633d38569b578ddeb31dad2c1a1a616f1369 | MATLAB | 2,652 | 67 | classdef full_b_ratio < bt.model.full
% This model is set up to fit t0 keeping the prior fixed if the alpha peak is not present
% Note that prepare_for_fit must be used before spectrum() can be used
% Uniform priors and DB initial fit
properties
end
methods
function self = full_b_ratio() % Constructor
sel... |
17576441f0a2770d8d7639c99a95c93c11cc4dabd0395bef0f9f9255c1eaf97d | MATLAB | 2,653 | 91 | function K=dynamicSystems_kernel2(D1,D2,param)
% Dynamical system kernel function
% D1,D2: 3-way tensors, each frontal slice is a sample
% param: row vector, [rank,lambda]
% K: matrix, the kernel matrix
% Reference:
% K.M. Borgwardt, Class prediction from time series gene expression
% profiles using dynamical systems k... |
662aed952586ab20a5099a3bdfc49b7ee452cae1ab4776ef18c4c853380a7a21 | MATLAB | 2,659 | 84 | %% file example_Trace.m
% this file shows the usage of Least_Trace.m function
% and study the low-rank patterns.
%
%% OBJECTIVE
% argmin_W { sum_i^t (0.5 * norm (Y{i} - X{i}' * W(:, i))^2)
% + rho1 \|W\|_*}
% where \|W\|_* = sum(svd(W, 0)) is the trace norm
%
%% LICENSE
% This program is free software:... |
dbfc37f2df1b4925463f39c052b020539707da26615bd1afd36e8a5996297030 | MATLAB | 2,661 | 117 | % plot full face frame and selected ROI
function PlotFrame(h)
kc = h.whichfile;
k = h.whichview;
wROI = h.wROI;
% smoothing constants
sc = h.sc;
tsc = h.tsc;
axes(h.axes1);
h.vr{kc}.currentTime = double(h.cframe-1) / h.vr{kc}.FrameRate;
frame = readFrame(h.vr{kc});
if size(frame,3) == 3
isRGB = 1;
els... |
067d4e5ccd4b44071822c1115e307bb1ab9695d269a5413336ce6f0a719232ca | MATLAB | 2,662 | 72 | %% FILE INSTALL.m
% mex the C files used in the MALSAR package.
%
%% LICENSE
% 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 3 of the License, or
% (at your option) any ... |
076dab2857cdaccf4ecab363dfbb01be5f14f4384e641ca359756bb46789dba6 | MATLAB | 2,662 | 65 | function [f,F]=motif4struct_bin(A)
%MOTIF4STRUCT_BIN Frequency of structural class-4 motifs
%
% [f,F] = motif4struct_bin(A);
%
% Structural motifs are patterns of local connectivity in complex
% networks. Such patterns are particularly diverse in directed networks.
% The motif frequency of occurrence arou... |
ac4fceed19d0d3fdcf3395dfc387002afce5d4eaaef97b0fecc7350c72af2735 | MATLAB | 2,663 | 80 | % This is an example of how to select features using NMF
% Copyright (C) <2012> <Yifeng Li>
%
% 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 3 of the License, or
% any later ve... |
134d74a9c069ba6be1a45fe34ec805c538dab64bc3348da2abce3fa5aa770886 | MATLAB | 2,665 | 94 | function plotnumbers(x,y,number1,number2,ask,z,number3);
%PLOTNUMBERS marks the points (x,y,z) on a plot with their index number.
%
% Required input:
% x : x-coordinates of the plotted points
% y : y-coordinates of the plotted points
%
% Optional input:
% number1 : number of points with largest distance on ... |
21f6c4f511560ea2307dc1b6a47e813100bed32c09a75c267807a25d1a0701bd | MATLAB | 2,666 | 82 | function [early, respt, early2, respt2, situation, ARD_time,...
ARD_time2, MTL_time, MTL_time2] = default_cycle(flipTime, ser, win)
%DEFAULT CYCLE
% [EARLY, RESPT, EARLY2, RESPT2, SITUATION, ARD_time, ARD_time2]...
% = DEFAULT_CYCLE(FLIPTIME, SER, WIN)
% Waits for user keypresses. If a keypress occures, ... |
9db1b0d597e428429e67747bc6923af3edd620425f90bec833a2ff0fff8ed7d6 | MATLAB | 2,676 | 80 | function [R,eff] = randmio_und_signed(W, ITER)
% RANDMIO_UND_SIGNED Random graph with preserved signed degree distribution
%
% R = randmio_und_signed(W,ITER);
% [R,eff] = randmio_und_signed(W,ITER);
%
% This function randomizes an undirected network with positively and
% negatively signed connections, whi... |
2f193b2722fabc7cc0839643fec8319512459919051e0413a4586b3842605d72 | MATLAB | 2,677 | 79 | %Plot avg component map in a cluster
%ver 200904
%pre_ver: none
%% set parameters (initialize)
try
close(2041);
end
clear all;
SL = '\';
FilePath = '';
if isunix
mypath;
FilePath = '~/liang/'; %directory
SL = '/';
end
DR_PBase_setup; %load setup file
MN = 'motion';
if strcmpi(MN, 'motionles... |
f30cdb7ee6c7ceb3cfbf01d9eeee236ae05a99e34ed7e8e634b67acb0ac535b5 | MATLAB | 2,686 | 90 | function get_SSDs_RTs(conditions)
%GET_SSDS_RTS Stop Signal Delay and Reaction Time values for each patient
%
% Input parameters:
% CONDITIONS Nx2 cell array of task conditions to compare
% -first column corresponds to recording time, second column to
% DBS stimulation condi... |
5f7e71844b6679a97dab7565d8606ebbc092c47054038d4ec90f1fbb465d1960 | MATLAB | 2,687 | 80 | function [R,eff] = randmio_dir_signed(W, ITER)
% RANDMIO_DIR_SIGNED Random directed graph with preserved signed
% in/out degree distribution
%
% R = randmio_dir(W, ITER);
% [R,eff] = randmio_dir(W, ITER);
%
% This function randomizes a directed weighted network with positive... |
f229f3ebf949871da963f542ce9c8c2398315ff26ba6cf5826ba720c77054be2 | MATLAB | 2,687 | 116 | function [a, b] = isintent(this,intent)
% Correspondence between fieldnames and NIfTI intent codes
% FORMAT ind = isintent(this,intent)
% this - GIfTI object
% intent - fieldnames
% a - indices of found intent(s)
% b - indices of dataarrays of found intent(s)
%_______________________________________... |
c3e27bdafd958c53a021b163839f989cedc513c71e5d48ac0025f2032c51487c | MATLAB | 2,688 | 88 | function [sY, mI, mIG, H] = nk_MultiCentIntensNorm(Y, V, G, B, mI, mIG, flags)
% This function performs variable normalization for multi-center studies
% Inputs:
% Y = data matrix for offset correction
% V = overlap search variable
% G = Group index vector
% B = binwidth for histogram analysis of V
if ~exist('flags','... |
c7fc258f85e8de96d9cf9e3bd1285cf1fe8edf57568a8f1b15f5f93a9895bac0 | MATLAB | 2,688 | 81 | function [A,Y,numIter,tElapsed,finalResidual]=seminmfrule(X,k,option)
% SemiNMF based on update rules: X=AY, s.t. Y>0;
% X, dataset, matrix, each column is a sample, each row is a feature, each column of X is a sample
% k, number of clusters
% option: struct:
% option.iter, max number of interations
% option.dis, boole... |
009ada627b001a9c76a860c178e8a7be364c0c4ed4e373137325395cfe0ea17d | MATLAB | 2,689 | 80 | % SB1_RVM Kernel specialisation of sparse Bayes model (RVM)
%
% [WEIGHTS, USED, BIAS, ML, ALPHA, BETA, GAMMA] = ...
% SB1_RVM(X,T,ALPHA,BETA,KERNEL,LEN,USEBIAS,MAXITS,MONITS)
%
% OUTPUT ARGUMENTS:
%
% WEIGHTS Parameter values of estimated model (sparse)
% USED Index vector of "relevant" kernels ... |
e3aa24d162ebb249983f84e083bc61441bb52342624243526e3509565a4550cb | MATLAB | 2,691 | 89 | function [varargout] = MIToolbox(functionName, varargin)
%function [varargout] = MIToolbox(functionName, varargin)
%
%Provides access to the functions in MIToolboxMex
%
%Expects column vectors, will not work with row vectors
%
%Function list
%"joint" = joint variable of the matrix
%"entropy" or "h" = H(X)
%"Conditional... |
6fe421a6c42f7de4c5dfde955adb14358ede2f94efd9cd6f3204eead0b5d0ae6 | MATLAB | 2,692 | 82 | function [epoch_p f] = load_TFblocks(curr_resdir,act_chan,powphas,tf_dir,blocknr);
%LOAD_TFBLOCKS Loads wavelet coefficients of epoched channel data
% [epoch_p f] = LOAD_TFBLOCKS(curr_resdir,act_chan,powphas,tf_dir,blocknr)
% Loads time-frequency matrices of complex wavelet coefficients derived from
% ... |
3ce83713602bd39a5ddbb23135bd67554d83a69179b5701f503b204f3f192bee | MATLAB | 2,693 | 79 | function [data, labels, covars] = nk_SynthPCAGauss(realData, realLabels, realCovars, IN)
if ~exist("IN","var") || isempty(IN)
numSyntheticObservations = 100;
else
numSyntheticObservations = IN.numSyntheticObservations ;
end
fprintf('\nGenerating synthetic data using Gaussian random interpolation.');
fprintf('... |
79a7171ff994cc54b930ef2fb37aefe080c52611dee05072fe13f5a3a465d402 | MATLAB | 2,696 | 75 | function daplot(x,group,center,covar,classic,method)
%DAPLOT plots 97.5% tolerances ellipses of the bivariate data set x, which
% consists of several groups defined by the input argument 'group'.
% Center and covar are estimates of the center and covariance matrix of each group,
% obtained with a classical ('CDA') o... |
571db8d65bfde8b934a5f649e0dc9404274be464ac05de8bda31165a65856db9 | MATLAB | 2,700 | 76 | function E=efficiency_bin(A,local)
%EFFICIENCY_BIN Global efficiency, local efficiency.
%
% Eglob = efficiency_bin(A);
% Eloc = efficiency_bin(A,1);
%
% The global efficiency is the average of inverse shortest path length,
% and is inversely related to the characteristic path length.
%
% The local efficie... |
c433b027aa4f8e0e664476b6a19dc5ef315f9a4087b3ecd3a41ac9f0e03882b9 | MATLAB | 2,703 | 70 |
function SVR_NFolds_Sort_Permutation(Subjects_Data_Path, Subjects_Scores, Times, FoldQuantity, C_Range, ResultantFolder)
%
% Doing permutation test to create the distribution of random model.
% Because permutation is pretty slow, here we parallized the jobs using
% PSOM (http://psom.simexp-lab.org/).
%
% Subjects_Data... |
18aca9639973a71cb31c6381f18b570a3b3203925e11ae504675e6dd5a7832e4 | MATLAB | 2,704 | 102 | function [polim sign p_vals mrl Z ftm] = PC_polar(allsp_ph,binnr,stat,isfig,varargin)
%PC_POLAR Distribution of phases associated with unit spikes
% [polim sign p_vals mrl Z ftm] = PC_POLAR(allsp_ph,binnr,stat,isfig,...)
% draws a polar histogram of phase values in ALLSP_PH. The histogram is
% divided to BI... |
40ec0c9928afb33a10acb14ae3047b05ed167cdc3ea6cee048a05d506438eebe | MATLAB | 2,704 | 84 | function gui_cg()
%
% This function is needed by FASTICAG
% This file just removes the global variables
% that are used in FASTICAG from the memory
% @(#)$Id: gui_cg.m,v 1.2 2003/04/05 14:23:57 jarmo Exp $
clear global c_FastICA_appr_strD;
clear global c_FastICA_appr_strV;
clear global c_FastICA_dMod_strD;
clear glo... |
d165c4d62a9f9aebff687ba1e1be6f481ae185490f7346d71916c6846129fd09 | MATLAB | 2,705 | 81 | function [D, ni] = find_nn(X, k)
%FIND_NN Finds k nearest neigbors for all datapoints in the dataset
%
% [D, ni] = find_nn(X, k)
%
% Finds the k nearest neighbors for all datapoints in the dataset X.
% In X, rows correspond to the observations and columns to the
% dimensions. The value of k is the number of neighbors t... |
0fb16eb011f694061e74f869eefda06bab2328a9c81db92ce211a5b0ee1c9197 | MATLAB | 2,706 | 120 |
%%
%nested cross validation for testing the logistic rMTFL model
%The stratified cv are integrated into method to handle
%"not_enough_data_sample" problems and privide more accurate estimator
%Han Cao
%24.02.2017
%%
clear;
clc;
close;
addpath('../MALSAR/functions/rMTFL/'); % load function
addpath('../MALSAR/utils/')... |
544bdb535275d2c160b08ab908d2cf9cd4c9fb3a0561ed6151115b7a8fb0d98f | MATLAB | 2,713 | 112 | function [Y] = LaplacianScore(X, W)
% Usage:
% [Y] = LaplacianScore(X, W)
%
% X: Rows of vectors of data points
% W: The affinity matrix.
% Y: Vector of (1-Laplacian) Score for each feature.
%
% Examples:
%
% fea = rand(50,70);
% options = [];
% options.Metric = 'Cosine';
% options.NeighborMo... |
c6e5f3e209b6086ce82411ea79ee0c741ffd8a2a005e8616262f0e4b3b9aba52 | MATLAB | 2,715 | 105 | % compute mean of videos on a subset of frames
% only use videos that are in multivideo SVD or ROI1-3
function h = subsampledMean(h)
nviews = numel(h.nX);
nvids = size(h.vr,2);
nframes = zeros(nvids,1,'single');
for j = 1:nvids
nframes(j) = h.vr{1,j}.Duration * h.vr{1,j}.FrameRate;
end
nframes = floor(nframes);
... |
95d85fb706578823c78649c361938ebd158f7305e9078fdd2150d237b57e7a88 | MATLAB | 2,723 | 74 | function [A,Y,numIter,tElapsed,finalResidual]=kernelnmfdecom(X,k,option)
% Kernel semi-NMF based on decomposing kernel matrix: XtX=AY, s.t. Y>0.
% Definition:
% [A,Y,numIter,tElapsed,finalResidual]=kernelnmfdecom(X,k)
% [A,Y,numIter,tElapsed,finalResidual]=kernelnmfdecom(X,k,option)
% X: matrix of mixed signs,... |
e26f49432bdf4081e53ab07a6096ab1c70539d7794183466b1868fa592de4984 | MATLAB | 2,724 | 77 | function [Y, label, I, NanStats] = nk_ManageNanCases(Y, label, I, act)
% =========================================================================
% FORMAT [Y, label, I] = nk_ManageNanCases(Y, label, I)
% =========================================================================
% Removes cases that consist only of NaN ... |
e995776cde89e6cb396460da3ac148bd7ec0be59971210eda6d7c3b0ef6a6513 | MATLAB | 2,725 | 129 | classdef dummy < bt.model.template
properties
means
std
end
methods
function self = dummy() % Constructor
self.name = 'dummy';
self.electrodes = {'Electrode'};
self.n_params = 4;
self.param_names = {'Unimodal','Unimodal','Exponential','Bimodal'};
self.param_symbols = {'Unimodal','Unimod... |
fff86a05ab13a595a8931880510a3b920c86db3386971c72371887f08b9e5252 | MATLAB | 2,725 | 70 | function nk_MLOptimizer_batch(paramfile)
global NM
% Read parameter file
% ===========================
if ~exist(paramfile,'file')
error([paramfile 'not found. Abort job!']);
end
fid = fopen(paramfile);
params = textscan(fid, '%s');
fclose(fid);
% Parse parameters in params
% ===================================... |
91edb54c0765e836409ddaa9dac1b52e59d5f212ede5e8230cbfc9097d5a6f26 | MATLAB | 2,729 | 100 | function [V, indvol, vox] = nk_WriteVol(Vdat, fname, dim, spacimg, badcoords, label, labelop, indvol, roundfl, verbose)
% ==================================================================================================
% FORMAT nk_WriteVol(Vdat, fname, dim, spacimg, badcoords, label, labelop, indvol, roundfl, verbose... |
aac3997cee82946d7952b02b69615798d0b50b43d1cbfac196d0ac7d9c6ce03f | MATLAB | 2,732 | 95 | function palm_hemimerge(varargin)
% Merge data for lh and rh (left and right hemispheres) into a
% single file. Various input files can be given, starting with
% 'lh' and/or 'rh'. The script finds the correct pair, removes
% repeated files, and merges them into files beginning with 'bh'.
%
% palm_hemimerge <files>
%
% ... |
32948f2f24085400403b4e8fd6578007296c2ec0b4977e2fa2161f71c27fbdb3 | MATLAB | 2,734 | 88 | function msCNMFEVideo(ms, cell_ID, frameLimit, downSamp,is_write,is_plot)
%MCNMFEVideo Visualize and/or save video of traces
% INPUTS:
% ms: ms structure
% cell_ID: cell to plot identify (will appear white instead of magenta)
% frameLimit: vector indicating the first and last frames (eg [10 205]).
% If left e... |
5a3e419160cf533bbaf9875345066c8e56199698a38de691197b6b7eeb0a0d3c | MATLAB | 2,734 | 74 | function [featmat,emptfl] = nk_GenCVresultsMaster(datid, mastermat, tdir, basename, savefl)
global SAV
if exist('savefl','var') && savefl, saveflx = true; else saveflx = false; end
if ~exist('tdir','var') || isempty(tdir) || ~exist(tdir,'dir'), tdir = pwd; end
emptfl = false;
if (~exist('mastermat','var') || ~exist(m... |
1659655c637a07595831a67cebbe772de6910a075d0e470a8f743889119ded9f | MATLAB | 2,735 | 85 | function [f, ax] = CARE_barMLI(casenum, MLIcont, feats, refdata, origdata)
% casenum = index of subject of interest in oocv dataset (if I understood
% it correctly this will always only include one subject (?))
% MLIcont = the results of the MLInterpreter
% feats = feature names
% refdata = trainings dataset
% origdata... |
865aad30bc71ad497ee8dca78f96a57689cd7bc8aec0c635a14aa7d11d49c99f | MATLAB | 2,737 | 90 | function h = nifti(varargin)
% Create a NIFTI-1 object
%__________________________________________________________________________
% Copyright (C) 2005-2017 Wellcome Trust Centre for Neuroimaging
%
% $Id: nifti.m 7147 2017-08-03 14:07:01Z spm $
switch nargin
case 0
hdr = empty_hdr;
h = struct('hdr',hdr,'da... |
9288f6911b248f9cb24fd8cff6d53b1e381a3c86e511a7006edf5343a7385d65 | MATLAB | 2,741 | 90 | classdef spatial_emg_xyz < bt.model.template_spatial
% This is a template function that allows rapid prototyping of new spatial
% fitting by leveraging model.params.spatial_spectrum with absolutely
% no regard for performance
properties
% No new properties required by this derived class
end
methods
function... |
ad65d950671cce52045dd66b5d1f799f7095cdeb7c5fc3d838ca7209f4d54286 | MATLAB | 2,744 | 77 | function pvals = palm_datapval(G,Gvals,rev)
% Compute the p-values for a set of statistics G, taking
% as reference a set of observed values for G, from which
% the empirical cumulative distribution function (cdf) is
% generated, or using a custom cdf.
%
% Usage:
% pvals = palm_datapval(G,Gvals,rev)
%
% Inputs:
% G ... |
e2dae0c4c7eabe0af64562932aeb7a92bd201b8712b302cd057ec097042ef11c | MATLAB | 2,744 | 99 | function [verts,faces,rois,data] = checkVertsFacesRoisData(varargin)
ip = inputParser;
validationFcn = @(x) (isnumeric(x) && ismatrix(x));
addOptional(ip, 'verts', [], @(x) validationFcn(x));
addOptional(ip, 'faces', [], @(x) validationFcn(x));
addOptional(ip, 'rois', [], @(x) validationFcn(x));
addOptional(ip, 'dat... |
5ef4e9c2f75af0b6f70662d61a77b8094a60ada60f94420ec5c6199987795a1e | MATLAB | 2,745 | 102 | % plot full face frame and selected ROI
function PlotROI(h)
nROIs = numel(h.plotROIs);
kc = h.whichfile;
k = h.whichview;
tstr = {'running','ROI1','ROI2','ROI3','pupil 1','pupil 2','blink1','blink2'};
% smoothing constants
sc = h.sc;
if ~isempty(h.indROI)
indROI = h.indROI;
axes(h.axes4);
frames = ... |
2386882f4912a5e22b65024b820c24ddf3bf57657c62bd4687c6a4d87db67532 | MATLAB | 2,748 | 80 | function [P_pos, P_neg, mindist_pos, mindist_neg, marginList, dists] = gflipHelper(X, Y, dists, changed_feat, added, cpus, labelsSet)
% [P_pos, P_neg, mindist_pos, mindist_neg, marginList, dists] = gflipHelper(X, X_square, Y, alphas, inds, dists, add_feat, rem_feat);
%
% This function finds the nearhit and nearmiss f... |
7b91a9a5413edb2e53975ea7a3a69bcd545caa9079d912438bccbcafcb472780 | MATLAB | 2,755 | 92 | function RecalculateProjection(self)
% Recalculate Projection (self)
% Projection plan 0
%
% Modified from Jadin Jackson's original code.
% Simplest projection path 1
MCD = MClust.GetData();
nFeatures = length(self.Features);
iPath = self.projectionPath.GetI();
%fprintf('Recalculating using projection path %d\n', i... |
e94e6784f398c0dfcdc619e52b50a0d0bfbe9f386862f9406c07224eca28ffb7 | MATLAB | 2,756 | 91 | function result = removeObsMcd(data,i,inputH0,inputFull,csteps);
%REMOVEOBSMCD is an auxiliary function to perform cross-validation with MCD
% (see cvMcd.m).
%
% The input:
% data : the original data
% i : the index of the observation that has to be removed.
% inputH0 : a structure that contains the f... |
2b7ce1e71a457c632eb90b8db7701044d59b8125344a09346bb31504854232a4 | MATLAB | 2,757 | 84 | function [Y,numIter,tElapsed]=kurnnls(XtX,AtA,AtX,option)
% Kernel UR-NNLS: phi(X)=A_phi Y, s.t. Y>0
% XtX, kernel matrix, k(X,X).
% AtA, kernel matrix, k(A,A).
% AtX, kernel matrix, k(A,X).
% option.iter, max number of interations
% option.kernel, string, kernel function
% option.param, scalar or column vector, the pa... |
9e1a3080db73dffc86d4f4a1af18bd25991f25ddb05a84f798de501b03b68a1c | MATLAB | 2,757 | 98 | function [infY, alpha, sig, infYPerm,symY, binY] = nk_FilterInfo(Y, labels, SymFlag, InfoType, nperms, alphacut)
%
% function [infY, alpha, sig, infYPerm, symY, binY] = nk_FilterInfo(Y, labels, SymFlag, InfoType, nperms)
%
% Inputs:
% -------
% Y: Data (rows = observations, columns = features)
% labels: ... |
ccb5f5238352552b709c5cca003e5893583350e5e17ce4ba30a6e1c117339d04 | MATLAB | 2,762 | 101 | function [res] = runsvm(Ks,lk)
% Copyright 2012 Nino Shervashidze, Karsten Borgwardt
% runsvm(Ks,lk)
% K = 1 x h cell array of kernelmatrices (n*n)
% lk = vector of class labels (n*1)
% cv = number of folds in cross-validation
% independent scheme
% best c
addpath('~/code/libsvm');
n=length(lk) % size of the dataset
... |
6767384c93e388c61c1df06ab535a94d973ac4822a6cffb43505252de6b42a5e | MATLAB | 2,776 | 89 | % General point of this code is to reorganize the tables for graphing in
% prism; final output from a chunk is a cell array called "format_final"
% which contains cell arrays for the responses of the odors (rows are
% ordered best to worst).
%% prism re-org; stand-alone behavior table, average by trialN
clear
... |
7ec60285d3526060f9f0564848626472c224c19e45c5d545b2c4f3327e6ed89e | MATLAB | 2,776 | 81 | % =========================================================================
% FORMAT permmat = nk_PermInd(nPerms,Labels,Constraint)
% =========================================================================
%
% Generate 'nPerms' within-group permutations of class membership indices
% 'Labels' and guarantee that repli... |
8a85f7fb1f311fdc0a861369c2a68e7a72f3ddf6a966a9acf865915aa7cbd52d | MATLAB | 2,780 | 97 | function topoplot_fig(alldata,chanlocs,sr,plot_win,topobin,cLim,topodir,maskdata,suptit,savetit)
%TOPOPLOT_FIG Plot scalp maps
% TOPOPLOT_FIG(alldata,chanlocs,sr,plot_win,topobin,cLim,topodir,maskdata,suptit,savetit)
% draws a series of scalp maps (topoplot.m by Delorme A & Makeig S (2004)),
% splitting PLO... |
5aed51b43a8aa9a3d86d5d96d660807522b9b8a3eacaffcd046a71e52e172d6c | MATLAB | 2,782 | 86 | function [buttoncode, ARD_time, MTL_time] = ser_read(serial, duration, Start, win, flipInx)
%SER_READ Keypress detection with FGETL_NONBLOCKING
% Detecting buttonpress timestamps
% Returning pressed button code, ARD timestamps, MTL serial read time
global cue
global RectSize
global backup_buff
buttoncode = []... |
118933d0f727eb9b1fff8e12c3da0d2c982f8165dca5b29188b7ebc9b20636ed | MATLAB | 2,791 | 91 | function [Rlatt,Rrp,ind_rp,eff] = latmio_dir(R,ITER,D)
%LATMIO_DIR Lattice with preserved in/out degree distribution
%
% [Rlatt,Rrp,ind_rp,eff] = latmio_dir(R,ITER,D);
%
% This function "latticizes" a directed network, while preserving the in-
% and out-degree distributions. In weighted networks, the function... |
822cda8ab0714523b09f0966a6db89360660c9c44b0f7f59f3408b8eb25bcc88 | MATLAB | 2,791 | 83 | function [P_pos, P_neg, mindist_pos, mindist_neg, marginList, dists] = nk_simbaHelper(X, X_square, Y, alphas, inds, labelsSet)
% [P_pos, P_neg, mindist_pos, mindist_neg, marginList, dists] = simbaHelper(X, X_square, Y, alphas, inds);
%
% This function finds the nearhit and nearmiss for the instances in X(inds,:) wit... |
70398640db8414ec3904f0650d6f348bc594d9f767f1f505a761810239b559f7 | MATLAB | 2,796 | 103 | function P = Permutationmatrix4
% graphlet kernel
% @author Karsten Borgwardt
% @date May 11th 2007
% calculate results for pairs of graphs
%
%for i = 1:size(graph,2)
%% %i
%% am1 = graph(i).am;
%% sp1 = floydwarshall(am1);
%% sp1(find(sp1 == Inf)) = 0;
%% graph(i).sp = sp1;
%
%m = size(graph(i).am,1)
%am = graph... |
75264897b142201998050bbc39b4d1e311f52214b7742b0424d615aaa3ffb01b | MATLAB | 2,800 | 72 | function [sY, IN] = nk_PerfImputeLabelObj(Y, IN)
% =========================================================================
% FORMAT function [sY, IN] = nk_PerfImputeLabelObj(Y, IN)
% =========================================================================
% Performes imputation using either single-subject median rep... |
5b41e05fa5219aff5b3445a45694ab6a720d88b4a391e710edaec4d741904b01 | MATLAB | 2,801 | 95 | function C = decompose_signal(y, method, params, Fs)
%DECOMPOSE_SIGNAL Wrapper for 1D decomposition methods.
% C = decompose_signal(y, method, params, Fs)
%
% Inputs:
% y : 1 x T or T x 1 noisy signal
% method : 'VMD' | 'SSA' | 'DWT' | 'CEEMDAN'
% params : struct with method-specific fields
% Fs : s... |
2bc627a8dbea7de16d6a5375dcd886092f3598178fc52dcdc616d9b9262907d5 | MATLAB | 2,809 | 121 |
%%
%nested cross validation for testing the logistic dirty model
%The stratified cv are integrated into method to handle
%"not_enough_data_sample" problems and privide more accurate estimator
%Han Cao
%24.02.2017
%%
clear;
clc;
close;
addpath('../MALSAR/functions/dirty/'); % load function
addpath('../MALSAR/c_files/... |
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