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function net = entrenamientoRedes(Xent,Yent, capas_neuronas, ep )
net = patternnet(capas_neuronas);
net = configure(net,Xent',Yent');
net.trainParam.epochs=ep;
[net, tr]= train(net,Xent',Yent');
plotperform(tr);
end
|
% This script finds the optimal delta by solving critical point of
% blocklength based on delta
function [opt_delta]=delta_finder(A)
com_term = (sqrt(3)*sqrt(16*A^3+27*A^2)+9*A)^(1/3);
term11 = 2^(1/3) * com_term / ((3)^(2/3)*A);
term12 = 2*2^(2/3) / (3^(1/3) * com_term);
term21 = 2^(1/3) * com_term / ... |
function RDM=RDM_calc(type,model)
%Saves a heatmap of calculated RDM.
%Inputs:
%type=keyword representing data model type. They are: 'NM' and 'DNN'
%model=keyword representing model.
%If model is a DNN, two RDM heatmaps are saved. One calculated using DNN model features and the other calculated
%using IT model featur... |
%sacar eficacia
tic
% dinfo = dir(['Variables\', '*.mat']);
% n_data = length(dinfo);
load('ValoresMaximos.mat');
limitesC = linspace(MinC, MaxC, resolucion + 1);
limitesI = linspace(MinI, MaxI, resolucion + 1);
Mirar = 4;
% Mirar = 1:n_data-2;
% figure(2)
for J = 1:length(Mirar)
% K = Mirar(J);
%... |
%% SYS800 - Reconnaissance de formes et inspection
% M'Hand Kedjar - December 2016
function [indr1 , indr2] = index_reduce(ind1 , ind2, n_classes , rate)
if(rate > 1)
rate = rate / 100;
end
if(rate > 100 || rate < 0)
error('rate should be a postive number less than or equal to 100')
end
I1 = ... |
% Matlab script to communicate with the Teensy 3.6 when it is in closed
% loop OMR mode
%
% Calling closed_loop_omr without arguments opens the GUI and initializes
% the threshold of burst detectioin to 100
%
% The GUI calls the subfunctions by passing arguments.
%
% Last modified 06/11/17.
function [] = closed_loop_... |
% Random masking function
function [tsPerS, tElapsed] = GetRandomProjectionsMatrix(data, sLen, sNum)
dimensionality = 16;
cardinality = 4;
[shapeletsHash, shapeletsStorage] = GetSaxHash(data, cardinality, sLen, dimensionality);
R = 10; %10
maskedNum = 3;
masks = zeros(R, maskedNum);
A =... |
load frieddelve
data = frieddelve(:,1:10);
label_true = frieddelve(:,11);
clear frieddelve
|
function y = dh_sys(x)
y = 1;
end |
function [dist1, dist2] = dist_between_parts(v1, v2)
dist1 = distBetweenParts(v1, v2);
dist2 = distBetweenParts(v2, v1);
function dist = distBetweenParts(v1, v2)
n1 = size(v1,1);
n2 = size(v2,1);
dist = 0;
for i = 1:n1
minErr = 999999;
pt1 = v1(i,:);
for j = 1:n2
pt2 = v2(j,:);
... |
function res=forcast(rates, prev, future, n=1)
use=rates(end-prev+1:end);
changes = [use; 0] ./ [0; use];
changes = changes(2:end-1);
for i=1:n
for t=1:future
# forcast a single target rate
s=ceil(sqrt(prev));
for j=1:s
p=randperm(prev-1,s);
res(end+1)=prod(changes(p));
... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This file bias the prefrontal cortex in two different ways:
% In the cortical schemas and in the basal ganglia unit
% The script is run each timeStep
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
averaging_int = (tt - counter.tt_trial_num(counter.trial_n... |
function [output] = blur(A,w)
[row, col] = size(A);
A=uint8(A);
B=nan(size(A) + (2*w));
B(w+1:end-w,w+1:end-w)=A;
output = 0*A;
for i=w+1:row+w
for j=w+1:col+w
tmp=B(i-w:i+w,j-w:j+w);
output(i-w,j-w)=mean(tmp(~isnan(tmp)));
end
end
output=uint8(output); |
% MCLCALC.M
% Script for calculation of roots (b)
% of a Polynomial only
% Called by mclcm
% First clear any error messages****************
set(mcltxter,'String', ' ') ;
% Check for existance of needed polynomials ****
if exist('mpgb1') ~= 1 ;
set(mcltxter,'Color','red','String', ...
'Error: B1 pulse does not ... |
function testAll(nmax)
for i=0:1:nmax
testThis(i);
end |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2012 Analog Devices, Inc.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http:/... |
function [b,g] = legendre_1D(ord,x)
nx = size(x,1);
if ord == 0
b = ones(nx,1);
g = zeros(nx,1);
elseif ord == 1
b = x;
g = ones(nx,1);
elseif ord == 2
elseif ord == 3
elseif ord == 4
elseif ord == 5
elseif ord == 6
elseif ord == 7
elseif ord == 8
elseif ord == 9
... |
function tool_phi_plot( r_int,r_ext,phi_int,phi_ext,phi_int_lt,phi_ext_lt,n_th,label_opt,cur_time_i,par_dt )
%TOOL_CPM_PLOT Summary of this function goes here
% Detailed explanation goes here
[N_int,M]=size(phi_int);
[N_ext,~]=size(phi_ext);
psi_int_lt_m=zeros(N_int,M);
psi_ext_lt_m=zeros(N_ext,M);
psi_int_lt_m(:,2)=... |
function data = collect_data(directory)
testfiles = dir([directory '/' 'strain*.json']);
for f = testfiles'
fullfilename = [directory '/' f.name];
data(end+1) = loadjson(fullfilename);
end
|
clear all;
load('Rome_classification');
% Parameters
alpha = 1.0;
%% Dummy encoding
classifiedFeatures = [3 16 25 28 34];
classifiedRows = [];
for i = 1:length(classifiedFeatures)
classifiedRows = [classifiedRows dummyvar(X_train(:,classifiedFeatures(i)))];
end
X_train(:,classifiedFeatures) = [];
X_train = [X_trai... |
function copyExistingDatabase
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2006-2007 Jean-Francois Lalonde
% Carnegie Mellon University
% Do not distribute
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
addpath ../xml;
addpath ../../3rd_party/LabelMe... |
%=========================================================================
%This is an implementation of the video quality metric described in
%the following paper:
%
% Songnan Li, Lin Ma, King Ngi Ngan, "Video quality assessment by
% decoupling additive impairments and detail losses", The third International ... |
% ppA01.m
clear all
close all
clc
hold on
N = 2000;
x = zeros(N,1);
y = zeros(N,1);
L = 20;
x(1) = -10;
y(1) = 9;
tMax = 5;
t = linspace(0,tMax,N);
dt = t(2)-t(1);
A = [1 4;2 -1];
x(2) = x(1) + dt*(A(1,1)*x(1) + A(1,2)*y(1));
y(2) = y(1) + dt*(A(2,1)*x(1) + A(2,2)* y(1));
flagS = 0; c = 3;
while flagS == 0
... |
%Phu Tran
%Homework #4
%AMATH 481
%11/19/15
clc; close all;
%setup
L = 10;
n = 64;
dx = 2*L/n;
dy = dx;
x = -L:dx:L;
x = x(1:n);
y = x;
dt = 0.5;
tEnd = 4;
tSpan = 0:dt:tEnd;
%Make A
e1 = ones(n,1);
subA = spdiags([-4*e1 e1 e1 e1 e1], [0 -1 1 -(n-1) (n-1)], n, n);
e2 = ones(n^2,1);
A = spdiags... |
lpFilt = designfilt('lowpassiir','FilterOrder',8, ...
'PassbandFrequency',35e3,'PassbandRipple',0.2, ...
'SampleRate',200e3); |
%{
05/18/2022
Purnanand Elango
Plot dual variable error for each exPIPG iteration until convergence for
feasible and infeasible problems
%}
clc
clear variables
close all
addpath ../
addpath ../solvers
addpath ../solvers/expipg
addpath ../utils
n = 32;
m = n/2;
N = 20;
x_max = 1;
u_max = 0.5;
omg = 200;
alf = nan;... |
function [energy, hess, block]= block_energylambda_c(alpha,c,block,sigma_alpha,opt)
extract(block);
sigma=block.sigma;
in = mat2cell([sigma, nSample],ones(L,1),2);
sigmaall = cell2mat(cellfun(@(x)x(1)*ones(x(2),1), in, 'UniformOutput',0));
N=length(alpha);
lambda_nucl = exp(alpha);
if ~isempty(c)
%% Compute the... |
function disparity = lbpToDisparity(leftImage, rightImage, windowSize)
width = size(leftImage,2);
height = size(leftImage,1);
labels = 60;
propagations = 5;
messages = zeros(height, width, 5, labels, 2);
disp = zeros(height, width);
progressBar = waitbar(0, 'Initialising Loopy Belief Propagation...');
... |
function outputs = get_op(gen1, gen2)
% output(i, 1) has the output of gen1(MSB) and gen2 when 0 is pushed at LHS
% output(i, 2) has the output of gen1(MSB) and gen2 when 1 is pushed at LHS
m = 9;
outputs =zeros(2^m, 2);
for i=1:2^m
% matlab, by default, produces binary vecto... |
function test_corellations()
sdata = csvread('features_fileid_sex_sexpredictiondnn_duration_avgfreq_avgvol_direction_peaks_breaks_broadband_tremolo_complex.csv');
data_path = './conv_activations/';
dirs = dir(data_path);
female = [];
male = [];
for d =... |
function [rowPartitions1, rowPartitions2] = partitionTrials(data, numPartitions)
rng(0, 'twister');
rowPartitions1 = cell(numPartitions, 1);
rowPartitions2 = cell(numPartitions, 1);
subjects = unique(data.subject);
for p = 1:numPartitions
subjectHalf1 = subjects(randperm(length(subjects), ...
round(length(... |
%short routine to calculate amplification factors for quads/dipoles
clear all;
mag(1).name='QF ';
mag(1).l=0.34;
mag(1).k=1.815761626091;
mag(1).bx=10;
mag(1).by=5;
mag(2).name='QD ';
mag(2).l=0.15;
mag(2).k=-1.580407879319;
mag(2).bx=8;
mag(2).by=8;
mag(3).name='QFC';
mag(3).l=0.5;
mag(3).k=1.786614951331;
mag(3).bx... |
clear
addpath('../RJMCMC')
%% model
S.z = [-1d6, 0];
S.zMax = 100;
S.rho = [1d12];
x.z = [20 50];
x.rhoh = [1 0 2];
x.rhov = [1 0 2];
writeData = false; % won't overwrite
%% SkyTEM polygon and receiver xy details
S.xyPolyTx = [ -15.09 -2.00 ;
-8.11 -10.16 ;
8.11 -10.16 ;
... |
% wav_tube_matrix.m
% Eigenvalues and eigenfunctions for standing waves in tubes
% Ian Cooper
% School of Physics, University of Sydney
% email: ian.cooper@sydney.edu.au
% https://d-arora.github.io/Doing-Physics-With-Matlab/
% 20140718
clear all
close all
clc
% INPUTS ==============================================... |
%%
clear
% load net612/testet612_batch512_newalldata_steplr2_iter_600000label_cal
% load net612/testlabel_grt
cpath='/home/tangy/caffe-master/python/';
load ([cpath , 'net612/test0000label_cal.mat']);
load ([cpath , 'net612/testlabel_grt.mat'])
z=(label_grt(:,1)=='1').';
l=round(1-label_cal);
truem=sum(l==z&l=... |
function[centers_y,centers_x,widths,heights,contri]= find_centers_4dhough_voting(offset,bbox_size,bin_size,size_bin_size,threshold,sup_size,size_non_m_win_size)
tStart=tic ;
%generate heat map
h=ceil(size(offset,1)/bin_size(1));
w=ceil(size(offset,2)/bin_size(2));
w1=ceil(size(offset,2)/size_bin_size(2));
h1=... |
%--------------------------------------------------------------------------
% version 1
% function plotLineDotDirVec(Line)
% global axisRange;
% vec=Line.DirVec/sqrt((Line.DirVec(1))^2+(Line.DirVec(2))^2); % unit
% length=Line.length/2;
% plot([Line.dot(1),Line.dot(1)+length*vec(1)], [Line.dot(2),Line.dot(2)+length*... |
function [ diff ] = calc_diff(data, frame, centers)
M = [];
frameSizeHalf = size(frame, 2)/2;
for i = 1:size(centers, 2)
range = (centers(2, i) - frameSizeHalf + 1):(centers(2, i) + frameSizeHalf);
if min(range) < 1 || max(range) > size(data, 2)
M(:, i) = -frame; %(centers(1, ... |
classdef TimeSteps < handle
%CalcTimeSteps Berechnet die einzelnen Zeitschritte
properties
OriConfig@Config;
WQTraj@DoubleEllipHeatSource;
CaliWQ@Calibration;
TimeStepArray = [];
TFieldTimeStep = [];
AdaptMeshDiscr... |
[final_loss, objective_value , gg, gg_smooth] = evaluation_oracle(final_solution,data);
|
p = 1;
for imageN = 1:482
name = ['Image',num2str(imageN),'.jpg'];
%normImage = im2double(name);
I = imread(name);%I = imread('~/Desktop/StormsOf/Jupiter/Image%.jpg');
%I =
%Im = imadjust(I);
data(p,:) = reshape(I,1,28*28);
%data(p,:) = I;
p = p + 1;
end
csvwrite('imag... |
function B = a
A=[];
for i = 1:22
A{i} = imread(num2str(i,'rr%d.bmp'));
end
B = zeros(22,22);
for i = 1:22
for j = 1:22
if i ~= j
B(i,j) = sim(A{i}, A{j});
end
end
end
C = zeros(1,22);
for i = 1:22
... |
classdef SigmoidImageReg < handle
%
% Sigmoid image regularisation function object.
%
%
% @author: Jeffrey Chan, 2013
%
properties(GetAccess = 'public', SetAccess = 'protected')
% default values (make sure they match with EucTriFactBM)
m_gamma = 0.001;
m_beta... |
function rad = deg2rad(deg)
rad = deg * pi/180;
end |
function [nR, nC] = BestSubplots(nP)
% [nR, nC] = BestSubplots(N)
%
% Calculates the best distribution of subplots for N plots
%
% INPUTS
% nP = number of subplots to place
%
% OUTPUTS
% nR, nC = number of rows and columns
%
% ADR 2013
nR = ceil(sqrt(nP));
nC = ceil(nP/nR); |
% Se1_1.m. % This is a 1D FDTD simulation of psi.
clear
close all
clc
NN = 400; % Number of points in the problem space
hbar = 1.054e-34; % Plank ?s constant
m0 = 9.1e-31; % Free space mass of an electron
meff = 1.0; % Effective mass: Si is 1.08, Ge is
% 0.067, GaAs is 0.55
melec = meff *m0; % Mass of a... |
% em_emf_1.m
% Animation of a magnet moving through a coil
% Ian Cooper
% School of Physics University of Sydney
% email: cooper@physics.usyd.edu.au
clear all; close all; clc
xmax = 40.1; xmin = -30; % limits for X axis
N = 200; % steps
Ni = round(N * 12 / 50); % location of curr... |
function [opttheta] = minFuncSGD(funObj,theta,data,labels,options)
% Runs stochastic gradient descent with momentum to optimize the
% parameters for the given objective.
%
% Parameters:
% funObj - function handle which accepts as input theta,
% data, labels and returns cost and gradient w.r.t
% ... |
function writeMesh_off(fileName, vertices, faces)
%WRITEMESH_OFF Write a mesh into a text file in OFF format.
%
% writeMesh_off(FNAME, V, F)
%
% Example
% writeMesh_off
%
% See also
% meshes3d, writeMesh, readMesh_off, writeMesh_ply
% ------
% Author: David Legland
% E-mail: david.legland@inrae.fr
% Crea... |
function D = District_feature(district,PD,n)
[a,~] = size(PD);
D = zeros(n,a);
[~,pos] = ismember(district,PD);
for i=1:n
D(i,pos(i)) = 1;
end |
% do lqr-lptv control design
try
tic
compsoc_lqr_based;
toc
catch ME
error_flag = 1;
warning('LQR-LPTV ERROR!!!');
end
% TODO: working on this section!!!!!!!!!!!!!!!!!!!!!!!!!!!!
% when there are no errors finding the controllers
if error_flag == 0
% adjust feedback control m... |
%% Circular Convolution of discrete signal
clc;
clear all;
close all;
%% Taking input signal
x=input('enter x(n): ');
h=input('enter h(n): ');
n=length(x);
w=exp(-2i*pi/n);
%% Finding DFT of input signal
for k=1:n
X(k)=0;
H(k)=0;
for j=1:n
X(k)=x(j)*w^((j-1)*(k-1))+X(k);
H(k)=h(j)*w^((j... |
function [pts markers fpts] = loadMarkedData2(dataPath, maskPath)
%Ładuje plik oraz maskę. Następnie wykorzystuje maskę do wyboru części
%punktów z danych.
pts = ioLoad3dData(dataPath);
mask = imread(maskPath);
markers = markData(pts, mask, 0, 0, 0);
fpts = pts(markers, :); |
%PRO-RO
clear;
y=.01:.1:.5;
c_f=600;
niu=2;
R=8.31;
T=298;
pi_f=niu*R*T*c_f/10^5;
eff_hp=1;
eff_ht=1;
eff_erd=1;
%constraint 1 to make sure delta_p1>0
%fai1=eff_erd/(eff_ht*eff_hp)-1;%delta_q/qb
%constraint 2 to make sure delta_p1<delta_p
%fai2=(1-eff_erd.*(1-y)-(1-y).*(eff_ht*eff_hp-eff_erd))./((1-y).*eff_ht*eff_hp);%... |
function [c,h]=polrfl(ai,dom,hs)
% Spectral Reflection of a Polynomial
%
% Usage: [c,h]=polrfl(ai,dom,hs)
%
% Testfile: t54.m
if nargin<2,
dom='z';
end
a=ai(:)';
n=max(size(a))-1;
if dom=='z',
disp('Z-domain')
c=fliplr(a);
h=zeros(n+1,n+1);
for i=1:n+1,
h(i,n+2-i)=1;
end
elseif dom=='s',
... |
%% get Euclidean distances between points along a path
function [cumd,d] = cumulativeDist(p)
% For n points in p (n x m), get the distances from p_i to p_{i+1} and
% return d as an n x 1 vector
d = diff(p,1) ;
d = [0;sqrt(sum(d.*d,2))] ;
cumd = cumsum(d) ;
end |
function X_pred = PredictMissingValuesWNMF(X, nil)
global k
persistent Y A W
xnil = X == nil;
xnotnil = X ~= nil;
if(isempty(Y))
Y=rand(k,size(X,2));
Y=max(Y,eps);
A=X/Y;
A=max(A,eps);
W=X==nil;
X(W)=0;
W=~W;
end
%k = 10;
%min_val = min(min(X));
%X = X - min_val;
%option = struct(... |
function [f, df] = STFuncCost(params,v)
%This funciton is a combination of a Gaussian in the spatial dimension and
%a Gamma function in the temporal dimension. Appropriated from DeAngelis et
%al 1993 paper.
[tf,sf] = meshgrid(1:tf_width,1:sf_height);
tf = tf(:);
sf=sf(:);
A0 = params(1);
sf0 = params(2);
tf0 = par... |
function idx = f_sub(jdate)
% - subsample data every 6 hrs
%
% USAGE: idx = f_sub(jdate);
%
% x = vector of julian dates
% idx = index to elements that occur every 6 hrs.
%
% SEE ALSO: f_julian
% -----Author:-----
% David L. Jones, Oct-2004
%
% This file is part of the FATHOM Toolbox for Matlab and
% is released und... |
function LatexMatrices(d)
% LatexMatrices(d) spews forth Latex versions of P and Q LatexMatrices for
% B-spline wavelets of degree d, from level 1 until the general pattern
% appears.
disp(['% B-spline scaling function and wavelet matrices of degree ' ...
num2str(d)]);
disp('% (automatically generated by Matlab c... |
function [delta, error] = GFC_Softmax_loss(active, GT, mode)
bz = size(active,4);
cha = size(active,3);
dt_loss = zeros(size(active));
loss = 0;
for i = 1:bz
output = active(:,:,:,i);
t=max(output,[],3);
for s=1:cha
output(:,:,s) = output(:,:,s)-t;
end
output = exp(output);
p=zeros(size(ou... |
% README:
% The following three code sections generate band structures for TBLG
% The first is a standard angle-sweep
% The second adds symmetry-breaking terms
% The third modifies the effective AA and AB interlayer couplings
% After this is a band-plotting utility, followed by code for DoS/IDoS
%% Get bandstruc... |
hand = imread('handdd.JPG');
back = imread('bacc.JPG');
diff = abs(hand - back) > 10;
diff = rgb2gray(255 * uint8(diff));
% median filtering
med_hand = medfilt2(diff);
gau_hand = imgaussfilt(diff,2);
% graythresh can be used to compute the level argument automatically
binary_hand = im2bw(med_hand,graythres... |
function results = nlrm_ncp(y,X,b0,V0,s02,nu0,Xstar)
%Funkce pro normalni linearni regresni model s priorzene konjugovanou
%apriorni hustotou
% y ... vektor vysvetlovane promenne (n x 1)
% X ... matice vysvetlujicich promennych (n x k)
% b0 ... vektor apriornich strednich hodnot parametru b [k x 1]
% V0 ... apr... |
function out=jacknife(data,candidate)
%this function runs the jacknife procedure
seed=20200709;
rng(seed);
M=1000;
betas=zeros(M,1);
ctry='AUSTRIA';
ctrytbl=nustable(strcmp(nustable.ctry,ctry),:);
varlist={'SIZE','BM','fht','ivol','ret','roe','cash','invop','capex','ppe','rdratio','DIV','dy','close','lev','ADR','analy... |
function [ mask ] = getSamplingMask( strucNum,mask3M,rate )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
sV = size(mask3M);
if ~exist('planC')
global planC;
end
indexS = planC{end};
[scanNum, relStructNum] = getStructureAssociatedScan(strucNum, planC);
[x,y,z] = getUniformScanXY... |
function info = winsoundhwinfo
% WINSOUNDHWINFO
%
% Function to provide separate lists of AI and AO channels.
% Work around for toolbox assumption that one list fits all.
%
% Output boards do not have to be in the same order as the inputs in
% Windows Multimedia Settings (Control Panel).
%
% New fields added t... |
function [Planes, PlaneSupports] = fitStairPlaneuvd2(points,edgeCandidates,epsilon,trials, gp, disparityThreshold)
global intrinsics baseline;
Num_inliersMax = 0;
Num_inliers=0;
IDinliersMax=[];
loopNO=1;
uvdGP=uvdPlane2(gp, intrinsics, baseline);
uvdGP4=uvdPlaneExpand(uvdGP);
PointsOnEdge=zeros(0,3);
for n=1:le... |
function nps = cross_talk_noise(P, varargin)
% nps = cross_talk_noise(P(chi, sigma2, px), f)
%
% Returns the noise-power spectrum (NPS) for a fraction chi cross talk
% between detector pixels in a rectangular matrix. Cross talk is along
% the first dimension and the noise is uncorrelated in the perpendicular
% ... |
while i<=n %Run all the nodes
%if solution found
if (P(i,1:4)== goal)
NSol=NSol+1;
SolPos(NSol)=i;
if NSol==1
Sol(1:i, :)=P(1:i, :); %Solution Array
m=size(Sol,1);
%make Solution Graph Matrix
for j=2:m
B(j-1, j)=1;
end
end
... |
%% init
% format compact;
% clear all;
% close all;
% clc;
% parameters
function imdb = prepareData()
pathToData = '/home/kraki/Documents/WSW/Projekt/PRZEKROJE';
pathToLabels = '/home/kraki/Documents/WSW/Projekt/2015_etykiety.txt';
image_h = 256; % pierwsza wspolrzedna
image_w = 256; % druga
to_gray = ... |
function OUCOMPInitialize()
current_path = fileparts(mfilename('fullpath'));
cd(current_path);
slash_index = regexp(current_path,'\');
parrent_path = current_path(1:slash_index(end)-1);
run([parrent_path,'\GI_PVTI\PVTinitialize.m']);
run([parrent_path,'\mrst-2017a\startup.m']);
end |
function L = stdgibbs_logjoint(theta,phi,Adk,Bkw,Mk,...
I,D,K,W,di,wi,ci,citest,Id,Iw,Nd,alpha,beta);
% standard gibbs log joint probability over everything
prior_dk = D*(log(gamma(K*alpha))-K*log(gamma(alpha)));
prior_kw = K*(log(gamma(W*beta))-W*log(gamma(beta)));
dk_ll = sum(sum((alpha-1+A... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% This function is used to support user query based on a particular
%%% sentence and return KL or LR result, plot distribution graphs
%%% To run the query, you must run "gradient_kl.m" or "gradient_lr.m"
%%% firstly
%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function y = BSIV(v,Price,S,K,r,q,T,PutCall);
d1 = (log(S/K) + T*(r-q+v^2/2)) / v / sqrt(T);
d2 = d1 - v*sqrt(T);
call = S*exp(-q*T)*normcdf(d1) - exp(-r*T)*K*normcdf(d2);
put = call + K*exp(-r*T) - S*exp(-q*T);
if PutCall=='C'
BSPrice = call;
else
BSPrice = put;
end
y = (Price - BSPrice)^2;
if v... |
function I = LoadTif(tifFile)
% Load tiff file to array
info = imfinfo(tifFile);
tampon = imread(tifFile,'Index',1);
F = length(info);
I = zeros(size(tampon,1),size(tampon,2),F,'uint8');
I(:,:,1) = tampon(:,:,1);
tic
wait_bar = waitbar(0,['Loading ',tifFile]);
ind = 0;
for i = 2:F
... |
% function [s]=cytotrace(X,genelist)
% %see also: sc_potency
%
% % @title cytoTRACE
% %
% % @description This function generates single-cell predictions of differentiation status from scRNA-seq data.
% % It takes in a matrix of gene expression values where columns are cells and rows are genes.\cr\cr
% % (Optional) Tec... |
function vp = CalculezValProprii(d, s, m, eps)
R = IntervaleValProprii(d, s, m);
[n n] = size(diag(d));
if(m > n)
m = n;
end
for i = 1:m %pentru fiecare interval Ri - Ri + 1 calculez cu precizia eps val proprie, stim ca avem sigur o radacina
%deci putem aplica bisectie fara alte verificari
%pratic avem va... |
function n = saveFigure(s,dir,name,number)
%modelo de documentacao a partir de:
%http://www.engin.umd.umich.edu/CIS/course.des/cis400/matlab/oop.html
%SIMULATOR simulator class constructor.
% s = Simulator(m) creates a simulatort object from the mesh object
%Name: saveSol
%Location: <path>/@Simulator
%Purpose: save... |
function SetParms(self, varargin)
%
% SetParms for convex hull cluster
self.SetParms@MClust.ClusterTypes.DisplayableCluster(varargin{:});
if isa(varargin{1}, 'MClust.ClusterTypes.CvxHullCluster')
self.CopyHulls(varargin{1});
elseif isa(varargin{1}, 'MClust.ClusterTypes.Cluster')
S = varargin{1}.GetSpikes();
MCC ... |
function result = f_disprof_clust_bin(A,B)
% - compare 2 DISPROF binary connectivity matrices
%
% USAGE: result = f_disprof_clust_bin(A,B);
%
% A,B = binary connectivity matrices (BIN) created by f_disprof_clust
%
% result = structure of results with the following fields:
% .n = # of objects in A that differ from B... |
useMex = true;
if ~useMex
fid = fopen('F0.bin','rb');
raw = fread(fid, inf, 'float');
F0 = raw(1:2:end) + 1i.*raw(2:2:end);
F0 = reshape(F0,3,[])';
figure; plot(abs(F0));
else
nrf = 3*50;
nz = 50;
tr = single(0.018);
te = single(0.006);
tau = single(0.0028);
tgap ... |
%%%% Initialize %%%%%
pic_filename = 'Orl';
% pic_filename = 'Orl_shelter'; % if getting sOrl picture, uncomment this line,
% comment the upper line
cow_choose = 4; % choose the picture to show
picture_save_format = '.eps'; % format of picture to save
%%%% Main %%%%%
load([pic_filename,'.mat']);
row_num = 112; % ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function [skyMask, sceneMask, groundMask, verticalMask] = loadSceneSkyMasks(skyMaskPath, seqInfo)
% Useful function which loads the sky and scene masks for a given
% image sequence.
%
% Input parameters:
% - skyMaskPath: path to the sky (an... |
%% testscript:
% I have implemented all this stuff, now I'm going to test is to see how it
% works and find any syntax errors or bugs...
clear, clc;
close all;
% configuration variables:
n = 10; % number of samples
d = 4; % dimension of samples
L = 100; % number of iterations in PRank algorith... |
function [rhoG,uG,vG,preG] = BC(ckey,time,gas_gamma,gas_const)
% function [rhoG,uG,vG,preG] = BC(ckey,time,gas_gamma)
% Purpose: Set Boundary Condition
rho_L = 1.0;
u_L = sqrt(gas_gamma);
v_L = 0;
p_L = 1.0;
p_R = 1.3;
rho_R = rho_L*((gas_gamma+1)*p_R + gas_gamma-1)/((gas_gamma-1)*p_R + gas_gamma+1);
u_R = ... |
function varargout = adjustwocircles(x, y, initval, config, axes_image, axes_monitor)
%% Preferences
opt = config;
% Debug
debug_flag = opt.Debug;
% Optimization cycles
fit_cycles = opt.FitCycles;
% Optimization tolerance
tol_fun = opt.Tolerance;
tol_x ... |
function WriteIntTextFile(A, file)
if ischar(file); id = fopen(file,'w'); else; id = file; end;
fprintf(id,[repmat('%d ',1,size(A,2)) '\n'],A);
if ischar(file); fclose(id); end;
|
% The fitting fuction:
function fit = SNumOnes(num)
% Iterating on the 32bit number:
fit = sum(dec2bin(num)=='1'); |
function grad_Phi = twodimensional_gradient(X,Y,Phi)
M = inv([ones(3,1) X Y]);
%A_e = abs(1/(2*det(M)));
b = M(2,:);
c = M(3,:);
B = [ b(1) b(2) b(3) ;
c(1) c(2) c(3) ];
grad_Phi = B*Phi;
end |
function [Img1, Img2] = readImg(fn1,fn2)
Img11 = imread(fn1);
Img22 = imread(fn2);
Img1 = im2double(Img11(:,:,1));
Img2 = im2double(Img22(:,:,1));
% Img1 = double(Img11(:,:,1));
% Img2 = double(Img22(:,:,1));
end |
% This program aims to deal with classify the Character catalog.
clc
clear all
close all
DIRETORY = 'C:\Users\Administrator\Desktop\postrain - Rp\';
cd(DIRETORY)
numDirunRed = 0;
% Directory
dirDat = dir([DIRETORY]);
numDir = length(dirDat);
t = 0;
numMostPixes = 4
%% Step1:find the image contain the most red pixe... |
function wmremove(varargin)
%WMREMOVE Remove overlay on web map
%
% Syntax
% ------
% WMREMOVE
% WMREMOVE(H)
%
% Update Description
% -----------
% WMREMOVE removes the vector overlay most recently inserted into the
% current web map.
%
% WMREMOVE(H) removes the overlay or overlays specified by the we... |
function ListTen(neuronNames,kTot,ix)
for i = 1:10
fprintf(1,'Neuron %s: k = %u\n',neuronNames{ix(i)},kTot(ix(i)))
end
end
|
function showTrBound(tr, IDX, boundTrLabels, imname, lLen)
% show the boundary trajectories
tmpTrColor = zeros(length(tr),1);
tmpTrLabels = [1:length(tr)];
tmpLabel1 = boundTrLabels(IDX==1);
tmpLabel2 = boundTrLabels(IDX==2);
tmpTrColor(tmpLabel1) = 0.5;
tmpTrColor(tmpLabel2) = 1;
... |
function [r, x] = stochastic_nonst_env(R, breakpoints, tt, a)
phase = 1 + sum(tt > breakpoints);
n_arms = size(R, 2);
all_r = rand(1, n_arms) < R(phase, :);
r = all_r(a);
x = [];
|
function [val, grad] = funJ(dx, dt, Nx, Nt, w)
rho = reshape(w(1:Nx*(Nt+1)), Nx, Nt+1);
q = reshape(w(Nx*(Nt+1)+1:Nx*(Nt+1)+(Nx+1)*(Nt+1)), Nx+1, Nt+1);
val = J(dx, dt, Nx, Nt, rho, q);
if nargout > 1
[gradrho, gradq] = gradJ(dx, dt, Nx, Nt, rho, q);
grad = [reshape(gradrho, Nx*(Nt+1), 1... |
function [nomdist] = nomdistance3(K, trainsize, database, descriptor)
nomdist=[];
for i=1:1:trainsize
dist = 0;
for j=1:1:K
dist = dist + (database(i,j)-descriptor(j))^3;
end
nomdist=[nomdist; nthroot(dist,3)];
end
end
|
function [x,ierr] = myj(AA,AC,AI,b,x0,Kmax,tol)
%l'algoritmo suppone una matrice A con diag(A) senza elementi nulli
n = length(AI)-1; k = 1; x = zeros(size(x0));
ierr = 0;
while true
for i = 1:n
j1 = AI(i); j2 = AI(i+1)-1;
sumi = AA(j1:j2) * x0(AC(j1:j2));
... |
%% calculating and evaluating the jacobian of the DIP model
function jac_evN = evalJac_dip(R_k, H_k)
syms hx hy hz rx ry rz
H = [hx; hy; hz];
R = [rx; ry; rz];
model = symfun((3*dot(H,R)*R)/(norm(R)^5) - H/(norm(R)^3), [R; H]);
jac = jacobian(model,([R;H]));
e_rx = R_k(1);
e_ry = R_k(2);
e_rz = R_k(3);
e_hx = H_k(1... |
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