plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | mohsenuss91/SOM_matlab-master | som_trajectory.m | .m | SOM_matlab-master/somtoolbox/som_trajectory.m | 9,582 | utf_8 | 943fbebf146286d22761e716b557cf75 | function som_trajectory(bmus,varargin)
%SOM_TRAJECTORY Launch a "comet" trajectory visualization GUI.
%
% som_show(sM,'umat','all')
% bmus = som_bmus(sM,sD);
% som_trajectory(bmus)
% som_trajectory(bmus, 'data1', sD, 'trajsize', [12 6 3 1]')
% som_trajectory(bmus, 'data1', sD.data(:,[1 2 3]), 'name1', {'fii' 'faa... |
github | mohsenuss91/SOM_matlab-master | som_vs1to2.m | .m | SOM_matlab-master/somtoolbox/som_vs1to2.m | 7,005 | utf_8 | ff7eede3183ba5dfa54884255dc76c4e | function sS = som_vs1to2(sS)
%SOM_VS1TO2 Convert version 1 structure to version 2.
%
% sSnew = som_vs1to2(sSold)
%
% sMnew = som_vs1to2(sMold);
% sDnew = som_vs1to2(sDold);
%
% Input and output arguments:
% sSold (struct) a SOM Toolbox version 1 structure
% sSnew (struct) a SOM Toolbox version 2 struct... |
github | mohsenuss91/SOM_matlab-master | rep_utils.m | .m | SOM_matlab-master/somtoolbox/rep_utils.m | 18,698 | utf_8 | 729db4f7bcce5f1f91eab7a63c3acdc1 | function aout = rep_utils(action,fmt,fid)
%REP_UTILS Utilities for print reports and report elements.
%
% aout = rep_utils(action,fmt,[fid])
%
% Input and output arguments ([]'s are optional):
% action (string) action identifier
% (cell array) {action,par1,par2,...}
% ... |
github | mohsenuss91/SOM_matlab-master | som_vs2to1.m | .m | SOM_matlab-master/somtoolbox/som_vs2to1.m | 8,359 | utf_8 | 7ae2b5258b2e375dd754f63d956a5dcd | function sS = som_vs2to1(sS)
%SOM_VS2TO1 Convert version 2 struct to version 1.
%
% sSold = som_vs2to1(sSnew)
%
% sMold = som_vs2to1(sMnew);
% sDold = som_vs2to1(sDnew);
%
% Input and output arguments:
% sSnew (struct) a SOM Toolbox version 2 struct
% sSold (struct) a SOM Toolbox version 1 struct
%
% F... |
github | mohsenuss91/SOM_matlab-master | som_dendrogram.m | .m | SOM_matlab-master/somtoolbox/som_dendrogram.m | 9,039 | utf_8 | 43f32770e95d19d4a12855bd8bfb91f3 | function [h,Coord,Color,height] = som_dendrogram(Z,varargin)
%SOM_DENDROGRAM Visualize a dendrogram.
%
% [h,Coord,Color,height] = som_dendrogram(Z, [[argID,] value, ...])
%
% Z = som_linkage(sM);
% som_dendrogram(Z);
% som_dendrogram(Z,sM);
% som_dendrogram(Z,'coord',co);
%
% Input and output arguments ([]'s ... |
github | mohsenuss91/SOM_matlab-master | som_plotplane.m | .m | SOM_matlab-master/somtoolbox/som_plotplane.m | 8,877 | utf_8 | afada5a6c93a0270c32acbd532af0679 | function h=som_plotplane(varargin)
%SOM_PLOTPLANE Visualize the map prototype vectors as line graphs
%
% h=som_plotplane(lattice, msize, data, [color], [scaling], [pos])
% h=som_plotplane(topol, data, [color], [scaling], [pos])
%
% som_plotplane('hexa',[5 5], rand(25,4), jet(25))
% som_plotplane(sM, sM.codebook)
%... |
github | mohsenuss91/SOM_matlab-master | som_seqtrain.m | .m | SOM_matlab-master/somtoolbox/som_seqtrain.m | 20,925 | utf_8 | 10804404d112d52c0bf9538861655c63 | function [sMap, sTrain] = som_seqtrain(sMap, D, varargin)
%SOM_SEQTRAIN Use sequential algorithm to train the Self-Organizing Map.
%
% [sM,sT] = som_seqtrain(sM, D, [[argID,] value, ...])
%
% sM = som_seqtrain(sM,D);
% sM = som_seqtrain(sM,sD,'alpha_type','power','tracking',3);
% [M,sT] = som_seqtrain(M,D... |
github | mohsenuss91/SOM_matlab-master | som_kmeanscolor2.m | .m | SOM_matlab-master/somtoolbox/som_kmeanscolor2.m | 5,856 | utf_8 | b167d8ae2e8d9e2099002b0b6c376772 | function [color,centroids]=som_kmeanscolor2(mode,sM,C,initRGB,contrast,R)
% SOM_KMEANSCOLOR2 Color codes a SOM according to averaged or best K-means clustering
%
% color = som_kmeanscolor2('average',sM, C, [initRGB], [contrast],[R])
%
% color=som_kmeanscolor2('average',sM,[2 4 8 16],som_colorcode(sM,'rgb1'),'enhance... |
github | mohsenuss91/SOM_matlab-master | som_stats_plot.m | .m | SOM_matlab-master/somtoolbox/som_stats_plot.m | 4,911 | utf_8 | 04eb5e46e18587318f497985e2ef3672 | function som_stats_plot(csS,plottype,varargin)
%SOM_STATS_PLOT Plots of data set statistics.
%
% som_stats_plot(csS, plottype, [argID, value, ...])
%
% som_stats_plot(csS,'stats')
% som_stats_plot(csS,'stats','p','vert','color','r')
%
% Input and output arguments ([]'s are optional):
% csS (cell array)... |
github | mohsenuss91/SOM_matlab-master | sompak_train.m | .m | SOM_matlab-master/somtoolbox/sompak_train.m | 6,477 | utf_8 | c1f8430b537283c08dd052265ce60c99 | function sMap=sompak_train(sMap,ft,cout,ct,din,dt,rlen,alpha,radius)
%SOMPAK_TRAIN Call SOM_PAK training program from Matlab.
%
% sMap=sompak_train(sMap,ft,cout,ct,din,dt,rlen,alpha,radius)
%
% ARGUMENTS ([]'s are optional and can be given as empty: [] or '')
% sMap (struct) map struct
% (string) filename
... |
github | mohsenuss91/SOM_matlab-master | som_kmeanscolor.m | .m | SOM_matlab-master/somtoolbox/som_kmeanscolor.m | 4,375 | utf_8 | b90f1bc73191e2f5c68e2e8afe11269a | function [color,best,kmeans]=som_kmeanscolor(sM,C,initRGB,contrast)
% SOM_KMEANSCOLOR Map unit color code according to K-means clustering
%
% [color, best, kmeans] = som_kmeanscolor(sM, C, [initRGB],[contrast])
%
% color = som_kmeanscolor(sM,15,som_colorcode(sM,'rgb1'),'enhance');
% [color,best] = som_kmeansc... |
github | mohsenuss91/SOM_matlab-master | vis_valuetype.m | .m | SOM_matlab-master/somtoolbox/vis_valuetype.m | 7,502 | utf_8 | cb7a373fcda9120d69231b2748371740 | function flag=vis_valuetype(value, valid, str);
% VIS_VALUETYPE Used for type checks in SOM Toolbox visualization routines
%
% flag = vis_valuetype(value, valid, str)
%
% Input and output arguments:
% value (varies) variable to be checked
% valid (cell array) size 1xN, cells are strings or vectors (see below)
... |
github | mohsenuss91/SOM_matlab-master | som_neighf.m | .m | SOM_matlab-master/somtoolbox/som_neighf.m | 3,518 | utf_8 | d37974390d75ef52b98cff7dc7fa6a53 | function H = som_neighf(sMap,radius,neigh,ntype)
%SOM_NEIGHF Return neighborhood function values.
%
% H = som_neighf(sMap,[radius],[neigh],[ntype]);
%
% Input and output arguments ([]'s are optional):
% sMap (struct) map or topology struct
% [radius] (scalar) neighborhood radius (by default, the last used v... |
github | mohsenuss91/SOM_matlab-master | som_gui.m | .m | SOM_matlab-master/somtoolbox/som_gui.m | 99,744 | utf_8 | bd53ca09a83b97ca6e40db35df42741c | function som_gui(varargin)
%SOM_GUI A GUI for initialization and training of SOM.
%
% som_gui([sD])
%
% som_gui
% som_gui(sD)
%
% Input and output arguments ([]'s are optional)
% [sD] (struct) SOM data struct
% (matrix) a data matrix, size dlen x dim
%
% Actually, there are more arguments th... |
github | mohsenuss91/SOM_matlab-master | som_dmatminima.m | .m | SOM_matlab-master/somtoolbox/som_dmatminima.m | 2,009 | utf_8 | 9e535d4906164073484193ea7ef10560 | function minima = som_dmatminima(sM,U,Ne)
%SOM_DMATMINIMA Find clusters based on local minima of U-matrix.
%
% minima = som_dmatminima(sM,[U],[Ne])
%
% Input and output arguments ([]'s are optional):
% sM (struct) map struct
% U (matrix) the distance matrix from which minima is
% ... |
github | mohsenuss91/SOM_matlab-master | som_stats_table.m | .m | SOM_matlab-master/somtoolbox/som_stats_table.m | 3,684 | utf_8 | 0dec0a499ac0af8b81c9d1eae7c1e819 | function [sTstats,csThist] = som_stats_table(csS,histlabel)
%SOM_STATS_TABLE Statistics table.
%
% [sTstats,csThist] = som_stats_table(csS)
%
% sTstats = som_stats_table(csS);
% som_table_print(sTstats);
%
% Input and output arguments ([]'s are optional):
% csS (cell array) of statistics struct... |
github | mohsenuss91/SOM_matlab-master | som_barplane.m | .m | SOM_matlab-master/somtoolbox/som_barplane.m | 13,935 | utf_8 | 75467b21870c4a890f9d50bd7db8c647 | function h = som_barplane(varargin)
%SOM_BARPLANE Visualize the map prototype vectors as bar charts
%
% h = som_barplane(lattice, msize, data, [color], [scaling], [gap], [pos])
% h = som_barplane(topol, data, [color], [scaling], [gap], [pos])
%
% som_barplane('hexa',[5 5], rand(25,4), jet(4))
% som_barplane(sM, sM.... |
github | mohsenuss91/SOM_matlab-master | som_recolorbar.m | .m | SOM_matlab-master/somtoolbox/som_recolorbar.m | 12,433 | utf_8 | f6539ba0228a1c13d3b9e317d75ddabf | function h=som_recolorbar(p, ticks, scale, labels)
%SOM_RECOLORBAR Refresh and rescale colorbars in the current SOM_SHOW fig.
%
% h = som_recolorbar([p], [ticks], [scaling], [labels])
%
% colormap(jet); som_recolorbar
%
% Input and output arguments ([]'s are optional)
% [p] (vector) subplot number vector ... |
github | mohsenuss91/SOM_matlab-master | som_show.m | .m | SOM_matlab-master/somtoolbox/som_show.m | 28,122 | utf_8 | d4dcabfc93b9206fb6cb14eeffb497f1 | function h=som_show(sMap, varargin)
% SOM_SHOW Basic SOM visualizations: component planes, u-matrix etc.
%
% h = som_show(sMap, ['argID', value, ...])
%
% som_show(sMap);
% som_show(sMap,'bar','none');
% som_show(sMap,'comp',[1:3],'umat','all');
% som_show(sMap,'comp',[1 2],'umat',{[1 2],'1,2 only'},'comp',[3:6])... |
github | mohsenuss91/SOM_matlab-master | som_show_gui.m | .m | SOM_matlab-master/somtoolbox/som_show_gui.m | 21,167 | utf_8 | 04711e9a1ccd09acfe6f6d238cf212f5 | function fig = som_show_gui(input,varargin)
%SOM_SHOW_GUI A GUI for using SOM_SHOW and associated functions.
%
% h = som_show_gui(sM);
%
% Input and output arguments:
% sM (struct) a map struct: the SOM to visualize
% h (scalar) a handle to the GUI figure
%
% This is a graphical user interface to make... |
github | mohsenuss91/SOM_matlab-master | som_label.m | .m | SOM_matlab-master/somtoolbox/som_label.m | 9,503 | utf_8 | 8288c9b7322af1c25b20c13d01f82aef | function [sTo] = som_label(sTo, mode, inds, labels)
%SOM_LABEL Give/clear labels to/from map or data struct.
%
% sTo = som_label(sTo, mode, inds [, labels])
%
% sD = som_label(sD,'add',20,'a_label');
% sM = som_label(sM,'replace',[2 4],'a_label');
% sM = som_label(sM,'add',som_bmus(sM,x),'BMU');
% sD = som_la... |
github | mohsenuss91/SOM_matlab-master | som_clset.m | .m | SOM_matlab-master/somtoolbox/som_clset.m | 9,904 | utf_8 | a6fb52044a380104fd094e793d0cd2b8 | function [sC,old2new,newi] = som_clset(sC,action,par1,par2)
% SOM_CLSET Create and/or set values in the som_clustering struct.
%
% first argument
% sC (struct) a som_clustering struct
% Z (matrix) size nb-1 x 3, as given by LINKAGE function
% base (vector) size dlen x 1, a partitioning o... |
github | mohsenuss91/SOM_matlab-master | sompak_init.m | .m | SOM_matlab-master/somtoolbox/sompak_init.m | 6,118 | utf_8 | 326ecf24211ec0f7576c9caa06b50998 | function sMap=sompak_init(sData,ft,init_type,cout,ct,xdim,ydim,topol,neigh)
%SOMPAK_INIT Call SOM_PAK initialization programs from Matlab.
%
% sMap=sompak_init(sData,ft,init_type,cout,ct,xdim,ydim,topol,neigh)
%
% ARGUMENTS ([]'s are optional and can be given as empty: [] or '')
% sData (struct) data struct
% ... |
github | mohsenuss91/SOM_matlab-master | som_distortion3.m | .m | SOM_matlab-master/somtoolbox/som_distortion3.m | 5,404 | utf_8 | 13e98906922a0ded1181732268ac671c | function [Err,sPropTotal,sPropMunits,sPropComps] = som_distortion3(sM,D,rad)
%SOM_DISTORTION3 Map distortion measures.
%
% [sE,Err] = som_distortion3(sM,[D],[rad]);
%
% sE = som_distortion3(sM);
%
% Input and output arguments ([]'s are optional):
% sM (struct) map struct
% [D] (matrix) a ma... |
github | mohsenuss91/SOM_matlab-master | som_drmake.m | .m | SOM_matlab-master/somtoolbox/som_drmake.m | 5,514 | utf_8 | 89709796bebe24488d9640dffa2a6465 | function [sR,best,sig,Cm] = som_drmake(D,inds1,inds2,sigmea,nanis)
% SOM_DRMAKE Make descriptive rules for given group within the given data.
%
% sR = som_drmake(D,[inds1],[inds2],[sigmea],[nanis])
%
% D (struct) map or data struct
% (matrix) the data, of size [dlen x dim]
% [inds1] (vector) ind... |
github | mohsenuss91/SOM_matlab-master | preprocess.m | .m | SOM_matlab-master/somtoolbox/preprocess.m | 176,966 | utf_8 | a8170717a6766685b74076da97fb351e | function preprocess(sData,arg2)
%PREPROCESS A GUI for data preprocessing.
%
% preprocess(sData)
%
% preprocess(sData)
%
% Launches a preprocessing GUI. The optional input argument can be
% either a data struct or a struct array of such. However, primarily
% the processed data sets are loaded to the application us... |
github | mohsenuss91/SOM_matlab-master | som_kmeans.m | .m | SOM_matlab-master/somtoolbox/som_kmeans.m | 4,244 | utf_8 | dca5b32dd99e19a186277df2a168dcf2 | function [codes,clusters,err] = som_kmeans(method, D, k, epochs, verbose)
% SOM_KMEANS K-means algorithm.
%
% [codes,clusters,err] = som_kmeans(method, D, k, [epochs], [verbose])
%
% Input and output arguments ([]'s are optional):
% method (string) k-means algorithm type: 'batch' or 'seq'
% D (ma... |
github | mohsenuss91/SOM_matlab-master | sompak_rb_control.m | .m | SOM_matlab-master/somtoolbox/sompak_rb_control.m | 7,240 | utf_8 | bcfb4ce0fc8edd340c4a5b73afa57746 | function varargout=sompak_rb_control(str)
%SOMPAK_RB_CONTROL An auxiliary function for SOMPAK_*_GUI functions.
%
% This is an auxiliary function for SOMPAK_GUI, SOMPAK_INIT_GUI,
% SOMPAK_SAMMON_GUI and SOMPAK_TRAIN_GUI functions. It controls the
% radio buttons in the GUIs.
%
% See also SOMPAK_GUI, SOMPAK_INIT_GU... |
github | mohsenuss91/SOM_matlab-master | lvq1.m | .m | SOM_matlab-master/somtoolbox/lvq1.m | 5,022 | utf_8 | 86a6a5093c040aededf200f82b599cc0 | function codebook=lvq1(codebook, data, rlen, alpha);
%LVQ1 Trains a codebook with the LVQ1 -algorithm.
%
% sM = lvq1(sM, D, rlen, alpha)
%
% sM = lvq1(sM,sD,30*length(sM.codebook),0.08);
%
% Input and output arguments:
% sM (struct) map struct, the class information must be
% present on the... |
github | mohsenuss91/SOM_matlab-master | som_colorcode.m | .m | SOM_matlab-master/somtoolbox/som_colorcode.m | 7,983 | utf_8 | e110e71452756946ea1943fa0b627791 | function colors=som_colorcode(m, colorcode, scaling)
%SOM_COLORCODE Calculates a heuristic color coding for the SOM grid
%
% colors = som_colorcode(m, colorcode, scaling)
%
% Input and output arguments ([]'s are optional):
% m (struct) map or topol struct
% (cell array) of form {str,[m1 m2]... |
github | mohsenuss91/SOM_matlab-master | som_pieplane.m | .m | SOM_matlab-master/somtoolbox/som_pieplane.m | 9,892 | utf_8 | 7d00431bbaad7c3344ddb3a827ada08b | function h=som_pieplane(varargin)
%SOM_PIEPLANE Visualize the map prototype vectors as pie charts
%
% h=som_pieplane(lattice, msize, data, [color], [s], [pos])
% h=som_pieplane(topol, data, [color], [s], [pos])
%
% som_pieplane('hexa',[5 5], rand(25,4), jet(4), rand(25,1))
% som_pieplane(sM, sM.codebook);
%
% Input... |
github | shangsiwang/Reliability-master | compute_i2c2.m | .m | Reliability-master/Code/MATLAB/Functions/compute_i2c2.m | 653 | utf_8 | d30938e1ef98342dc6242a7b012c2592 | %The function computes i2c2 for data
%DATA should be an n*p matrix where each row correspond to a sample
%ID should be a vector of length n representing subject of samples
%The function computes icc if DATA is 1-dimensional
function [ I2C2 ] = compute_i2c2(DATA,ID)
[n,p]=size(DATA);
kw=zeros(1,p);
ku=zeros(1,p);
wave=m... |
github | shangsiwang/Reliability-master | compute_mnr.m | .m | Reliability-master/Code/MATLAB/Functions/compute_mnr.m | 928 | utf_8 | 468e954a7d45a762267dc95f6b4b46e5 | % The function computes mnr for data
% D should be an n*n matrix recording pairwise distance
% ID should be a vector of length n representing subject id
% of each row of D
% The output are MNR of data set, standard error of MNR estimate
% and all MNRs for each pair of observations.
% Usage:
% MNR=compute_mnr(D,ID)
%[... |
github | shangsiwang/Reliability-master | build_graph.m | .m | Reliability-master/Code/MATLAB/Forgreg/build_graph.m | 695 | utf_8 | ab56f9736bd1bedc27a803f156a81a0c | % The function computes complete graphs based on time series
% The input should be a k*T*n or k*T matrix where
% k is the number of regions of interest
% T is the length of time series
% n is the number subject
% The output is a k*k*n complete matrix which records the
% absolute correlations between rois
function [grap... |
github | shangsiwang/Reliability-master | graph_todist.m | .m | Reliability-master/Code/MATLAB/Forgreg/graph_todist.m | 279 | utf_8 | 5a034f0fd47d6e0d1bc9dccadd7ef165 | % The function compute pairwise distance between graphs
% The input should be k*k*n which represents n graphs
% The output is n*n distance matrix
function [D]=graph_todist(graphs)
[k,~,n]=size(graphs);
graphs=reshape(graphs,k*k,n)';
D=squareform(pdist(graphs,'euclidean'));
end |
github | shangsiwang/Reliability-master | compute_mnr.m | .m | Reliability-master/Code/MATLAB/Forgreg/compute_mnr.m | 928 | utf_8 | 468e954a7d45a762267dc95f6b4b46e5 | % The function computes mnr for data
% D should be an n*n matrix recording pairwise distance
% ID should be a vector of length n representing subject id
% of each row of D
% The output are MNR of data set, standard error of MNR estimate
% and all MNRs for each pair of observations.
% Usage:
% MNR=compute_mnr(D,ID)
%[... |
github | shangsiwang/Reliability-master | build_graph.m | .m | Reliability-master/Code/MATLAB/Foreric/process_compute_64pipes/build_graph.m | 696 | utf_8 | 149b8761e22c74bda55d17f149c7da63 | % The function computes complete graphs based on time series
% The input should be a k*T*n or k*T matrix where
% k is the number of regions of interest
% T is the length of time series
% n is the number subject
% The output is a k*k*n complete matrix which records the
% absolute correlations between rois
function [grap... |
github | shangsiwang/Reliability-master | graph_todist.m | .m | Reliability-master/Code/MATLAB/Foreric/process_compute_64pipes/graph_todist.m | 279 | utf_8 | 5a034f0fd47d6e0d1bc9dccadd7ef165 | % The function compute pairwise distance between graphs
% The input should be k*k*n which represents n graphs
% The output is n*n distance matrix
function [D]=graph_todist(graphs)
[k,~,n]=size(graphs);
graphs=reshape(graphs,k*k,n)';
D=squareform(pdist(graphs,'euclidean'));
end |
github | shangsiwang/Reliability-master | compute_mnr.m | .m | Reliability-master/Code/MATLAB/Foreric/process_compute_64pipes/compute_mnr.m | 928 | utf_8 | 468e954a7d45a762267dc95f6b4b46e5 | % The function computes mnr for data
% D should be an n*n matrix recording pairwise distance
% ID should be a vector of length n representing subject id
% of each row of D
% The output are MNR of data set, standard error of MNR estimate
% and all MNRs for each pair of observations.
% Usage:
% MNR=compute_mnr(D,ID)
%[... |
github | shangsiwang/Reliability-master | build_graph.m | .m | Reliability-master/Code/MATLAB/Foreric/process_fmrinew/build_graph.m | 696 | utf_8 | 149b8761e22c74bda55d17f149c7da63 | % The function computes complete graphs based on time series
% The input should be a k*T*n or k*T matrix where
% k is the number of regions of interest
% T is the length of time series
% n is the number subject
% The output is a k*k*n complete matrix which records the
% absolute correlations between rois
function [grap... |
github | shangsiwang/Reliability-master | graph_todist.m | .m | Reliability-master/Code/MATLAB/Foreric/process_fmrinew/graph_todist.m | 279 | utf_8 | 5a034f0fd47d6e0d1bc9dccadd7ef165 | % The function compute pairwise distance between graphs
% The input should be k*k*n which represents n graphs
% The output is n*n distance matrix
function [D]=graph_todist(graphs)
[k,~,n]=size(graphs);
graphs=reshape(graphs,k*k,n)';
D=squareform(pdist(graphs,'euclidean'));
end |
github | shangsiwang/Reliability-master | compute_mnr.m | .m | Reliability-master/Code/MATLAB/Foreric/process_fmrinew/compute_mnr.m | 928 | utf_8 | 468e954a7d45a762267dc95f6b4b46e5 | % The function computes mnr for data
% D should be an n*n matrix recording pairwise distance
% ID should be a vector of length n representing subject id
% of each row of D
% The output are MNR of data set, standard error of MNR estimate
% and all MNRs for each pair of observations.
% Usage:
% MNR=compute_mnr(D,ID)
%[... |
github | pakitochus/mapBrain-master | hmmPaths.m | .m | mapBrain-master/hmmPaths.m | 4,096 | utf_8 | 8af2e957d4ee1f38fd39cd83ca131d5c | function points = hmmPaths(center, im, Ith, e, azim, elev, xfin)
%RBFPATHS performs a path tracing in a 3D intensity map (e.g. an MRI image)
%using Hidden Markov Models and a RBF based robability function, as in [1].
%
% POINTS = HMMPATHS(CENTER, IM, ITH, E, ...) creates radiuses starting in
% point CENTER in the 3... |
github | fethallah/geodesics4meshes-master | print2im.m | .m | geodesics4meshes-master/matlab/toolbox/print2im.m | 7,938 | utf_8 | c36ec20620bf599a24eb42336f47939e | %PRINT2IM Prints cropped, anti-aliased figures to image file and/or array
%
% Examples:
% print2im filename
% print2im(..., fig_handle)
% print2im(..., '-alpha')
% A = print2im(...)
% [A alpha] = print2im(...)
%
% This function saves and/or outputs a figure as an image nicely, without
% the need to... |
github | fethallah/geodesics4meshes-master | GetEdges.m | .m | geodesics4meshes-master/matlab/toolbox/GetEdges.m | 613 | utf_8 | 30f89c7b08521e1c58af66687940aef2 | function Edges=GetEdges(Trig)
Neighbors=NeighborhoodFromNodes(Trig.Facets,Trig.NVerts);
Edges=[];
for j=1:Trig.NVerts
for i=1:j-1
if(Neighbors(i,j))
Edges=[Edges,[i;j]];
end
end
end
function Neighborhood = NeighborhoodFromNodes(Nodes,nPts)
Neighborhood = zeros(nPts,nPts);
for ... |
github | fethallah/geodesics4meshes-master | plot_tensor_field.m | .m | geodesics4meshes-master/matlab/toolbox/plot_tensor_field.m | 5,736 | utf_8 | 8e241783316bc4c13529031d81db17d4 | function h = plot_tensor_field(H, M, options)
% plot_tensor_field - display a tensor field
%
% h = plot_tensor_field(H, M, options);
%
% options.sub controls sub-sampling
% options.color controls color
%
% Copyright (c) 2006 Gabriel Peyre
if nargin<3
options.null = 0;
end
if not( isstruct(op... |
github | fethallah/geodesics4meshes-master | perform_triangle_flipping.m | .m | geodesics4meshes-master/matlab/toolbox/perform_triangle_flipping.m | 1,848 | utf_8 | b6a78203795416882735031895a76703 | function face = perform_triangle_flipping(face, flips, options)
% perform_triangle_flipping - apply a sequence of flips to a triangulation
%
% face = perform_triangle_flipping(face, flips, options);
%
% Flip that are not topologically valid (either on a boundary edge or a
% flip that creates a double face) are s... |
github | fethallah/geodesics4meshes-master | compute_structure_tensor.m | .m | geodesics4meshes-master/matlab/toolbox/compute_structure_tensor.m | 5,058 | utf_8 | c1be68eb9fee026413f2513666c843ab | function H = compute_structure_tensor(M,sigma1,sigma2, options)
% compute_structure_tensor - compute the structure tensor
%
% T = compute_structure_tensor(M,sigma1,sigma2);
%
% sigma1 is pre smoothing width (in pixels).
% sigma2 is post smoothing width (in pixels).
%
% Follows the ideas of
% U. Kot... |
github | fethallah/geodesics4meshes-master | load_image.m | .m | geodesics4meshes-master/matlab/toolbox/load_image.m | 20,071 | utf_8 | 2407ce9458db2bca9c208e744785af5a | function M = load_image(type, n, options)
% load_image - load benchmark images.
%
% M = load_image(name, n, options);
%
% name can be:
% Synthetic images:
% 'chessboard1', 'chessboard', 'square', 'squareregular', 'disk', 'diskregular', 'quaterdisk', '3contours', 'line',
% 'line_vertical', 'l... |
github | fethallah/geodesics4meshes-master | add_point_edge.m | .m | geodesics4meshes-master/matlab/toolbox/add_point_edge.m | 2,483 | utf_8 | 57f7fa084c2be6b8b2a9e659d127f9a6 | function [vertex, connectivity, modified] = add_point_edge(vertex, connectivity, edge, coords)
% add_point_edge -
%
%
% coords are the barycentric coordinates in the triangle of the new point
% sum(coords) = 1 and coords(i) > 0
%
% Copyright (c) 2010 Fethallah Benmansour
if(sum(coords(:)) ~= 1 || min(coords... |
github | fethallah/geodesics4meshes-master | GetBorders.m | .m | geodesics4meshes-master/matlab/toolbox/GetBorders.m | 3,798 | utf_8 | 861fdb85584ac5226a5e931ef528cf2f | % if OrderP=true, ensure that the edges are ordered so that the second of
% one is the first vertex of the next one.
% If ReverseP=true, reverse the order of the vertices in all edges.
function [Borders,Edges]=GetBorders(Trig,OrderP,ReverseP)
if(nargin<3)
ReverseP=false;
if(nargin<2)
OrderP=true;
... |
github | fethallah/geodesics4meshes-master | RtTrig.m | .m | geodesics4meshes-master/matlab/toolbox/RtTrig.m | 1,031 | utf_8 | 002fc6a108a1effed72dad09674acdff | % Rotate all vertex coordinates.
% - If two or three arguments are provided, the second is assumed to be the
% rotations translation matrix and the third a flag that indicates whether
% or not it should be inverted.
% - If six arguments are provided, they are assumed to be the rotation and
% translation values.
func... |
github | fethallah/geodesics4meshes-master | ProjectVert.m | .m | geodesics4meshes-master/matlab/toolbox/ProjectVert.m | 270 | utf_8 | f44dd258db87f8e2b575622712889804 | % Project vertex by multiplying coordinates by projection matrix and
% adding one to convert to matlab array coordinates.
function [u,v]=ProjectVert(Trig,Proj,VId,RoundP)
if(nargin<4)
RoundP=false;
end
Pt=Trig.Coords(VId,:);
[u,v]=ProjectPoint(Proj,Pt',RoundP);
|
github | fethallah/geodesics4meshes-master | perform_edgebreaker.m | .m | geodesics4meshes-master/matlab/toolbox/perform_edgebreaker.m | 5,468 | utf_8 | 5b2af363e48e9ea8f65c6f09283620fc | function [face, vertex] = perform_edgebreaker(face, vertex, direction, options)
% perform_edgebreaker - wrapper to edgebreaker topology compression
%
% Compression of topology + geometry:
% [stream,vertexC] = perform_edgebreaker(face, vertex, +1, options);
% Compression of topology alone:
% stream = perform_edgebr... |
github | fethallah/geodesics4meshes-master | FillTrig.m | .m | geodesics4meshes-master/matlab/toolbox/FillTrig.m | 2,426 | utf_8 | 3676043f3ca8859c965352105862e9d1 | function [Raster,ValidP]=FillTrig(Trig,Proj,Raster,FacetsP)
if(nargin<4)
FacetsP=false;
end
global Array;
Array=Raster;
if(FacetsP)
% Fill array with individual facet numbers
nf=size(Trig.Facets,1);
% Compute vertex projections.
[Us,Vs]=ProjectTrig(Trig,Proj);
% Draw all edges into array.
... |
github | fethallah/geodesics4meshes-master | compute_boundary.m | .m | geodesics4meshes-master/matlab/toolbox/compute_boundary.m | 2,009 | utf_8 | 69ba55473da4b09ce00a1eb506a7e959 | function boundary=compute_boundary(face, options)
% compute_boundary - compute the vertices on the boundary of a 3D mesh
%
% boundary=compute_boundary(face);
%
% Copyright (c) 2007 Gabriel Peyre
options.null = 0;
verb = getoptions(options, 'verb', 1);
if size(face,1)<size(face,2)
face=face';
end... |
github | fethallah/geodesics4meshes-master | check_face_vertex.m | .m | geodesics4meshes-master/matlab/toolbox/check_face_vertex.m | 669 | utf_8 | c940a837f5afef7c3a7f7aed3aff9f7a | function [vertex,face] = check_face_vertex(vertex,face, options)
% check_face_vertex - check that vertices and faces have the correct size
%
% [vertex,face] = check_face_vertex(vertex,face);
%
% Copyright (c) 2007 Gabriel Peyre
vertex = check_size(vertex,2,4);
face = check_size(face,3,4);
%%%%%%%%%%%%%%%%%%%%%%%... |
github | fethallah/geodesics4meshes-master | plot_tensor_field_nb.m | .m | geodesics4meshes-master/matlab/toolbox/plot_tensor_field_nb.m | 5,107 | utf_8 | 5f6826cefc68c6e07eaf23afe0858e50 | function h = plot_tensor_field(H, M, options)
% plot_tensor_field - display a tensor field
%
% h = plot_tensor_field(H, M, options);
%
% options.sub controls sub-sampling
% options.color controls color
%
% Copyright (c) 2006 Gabriel Peyre
if nargin<3
options.null = 0;
end
if not( isstruct(op... |
github | fethallah/geodesics4meshes-master | DispNumberedTrig.m | .m | geodesics4meshes-master/matlab/toolbox/DispNumberedTrig.m | 2,401 | utf_8 | 571361fcc14742a9a71fa7538df64813 | function DispNumberedTrig(Trig,vertexIndeciesP,faceIndeciesP,varargin)
figure
if(length(varargin)>0)
Colors=varargin{1};
if(length(varargin)>1)
ClearP=varargin{2};
else
ClearP=true;
end
else
ClearP=true;
Colors=['r','g','b','c','y'];
end
Ncolrs=length(Colors);
if(ClearP)
... |
github | fethallah/geodesics4meshes-master | DispTrig.m | .m | geodesics4meshes-master/matlab/toolbox/DispTrig.m | 1,449 | utf_8 | dc344b0ab5c3bb8c79ca9436ac5eba57 | function DispTrig(Trig,varargin)
if(~isempty(varargin))
Colors=varargin{1};
if(length(varargin)>1)
ClearP=varargin{2};
else
ClearP=true;
end
else
ClearP=true;
Colors=['r','g','b','c','y'];
end
Ncolrs=length(Colors);
if(ClearP)
clf;
daspect([1,1,1]);
end
hold on;
fo... |
github | fethallah/geodesics4meshes-master | compute_voronoi_triangulation.m | .m | geodesics4meshes-master/matlab/toolbox/compute_voronoi_triangulation.m | 2,806 | utf_8 | 6ed546707daebe1eb6f945f8834ceb61 | function faces = compute_voronoi_triangulation(Q, vertex)
% compute_voronoi_triangulation - compute a triangulation
%
% face = compute_voronoi_triangulation(Q);
%
% Q is a Voronoi partition function, computed using
% perform_fast_marching.
% face(:,i) is the ith face.
%
% Works in 2D and in 3D.
%
% Cop... |
github | fethallah/geodesics4meshes-master | plot_graph.m | .m | geodesics4meshes-master/matlab/toolbox/plot_graph.m | 2,140 | utf_8 | 337033b66fe405903639bcac59c2b34d | function h = plot_graph(A,xy, options)
% plot_graph - display a 2D or 3D graph.
%
% plot_graph(A,xy, options);
%
% options.col set the display (e.g. 'k.-')
%
% Copyright (c) 2006 Gabriel Peyre
if size(xy,1)>size(xy,2)
xy = xy';
end
if nargin<3
options.null = 0;
end
if not(isstruct(options))
col = op... |
github | fethallah/geodesics4meshes-master | add_point_triangle.m | .m | geodesics4meshes-master/matlab/toolbox/add_point_triangle.m | 1,642 | utf_8 | c1f483ddcd9193e3222637ff2428ff7d | function [vertex, connectivity, modified] = add_point_triangle(vertex, connectivity, triangle, coords)
% add_point_triangle -
%
%
% coords are the barycentric coordinates in the triangle of the new point
% sum(coords) = 1 and coords(i) > 0
%
% Copyright (c) 2010 Fethallah Benmansour
if(sum(coords(:)) ~= 1 |... |
github | fethallah/geodesics4meshes-master | perform_delaunay_flipping.m | .m | geodesics4meshes-master/matlab/toolbox/perform_delaunay_flipping.m | 2,420 | utf_8 | 7c5e250e94e9e69d99c556c805b4d2fe | function [face, flips, flipsinv] = perform_delaunay_flipping(vertex,face,options)
% perform_delaunay_flipping - compute Dalaunay triangulation via flipping
%
% [face1, flips, flipsinv] = perform_delaunay_flipping(vertex,face,options);
%
% Set options.display_flips = 1 for graphical display.
%
% face is turned in... |
github | fethallah/geodesics4meshes-master | check_incircle_edge.m | .m | geodesics4meshes-master/matlab/toolbox/check_incircle_edge.m | 1,633 | utf_8 | dca2fc799d9cf120df9156a15c47b5fa | function ic = check_incircle_edge(vertex, face, edge)
% check_incicle_edge - compute "empty circle" property for a set of edges
%
% ic = check_incicle_edge(vertex,face, edge);
%
% ic(i)==1 if edge(:,i) is delaunay valid (boundary or empty circles or non convex).
% It thus should be flipped if ic(i)==0.
%
% Cop... |
github | fethallah/geodesics4meshes-master | perform_faces_reorientation.m | .m | geodesics4meshes-master/matlab/toolbox/perform_faces_reorientation.m | 2,881 | utf_8 | 09474ee38fee171fa18c1db05e3e7a22 | function faces = perform_faces_reorientation(vertex,faces, options)
% perform_faces_reorientation - reorient the faces with respect to the center of the mesh
%
% faces = perform_faces_reorientation(vertex,faces, options);
%
% try to find a consistant reorientation for faces of a mesh.
%
% if options.method = 'fast... |
github | fethallah/geodesics4meshes-master | ProjTrig.m | .m | geodesics4meshes-master/matlab/toolbox/ProjTrig.m | 1,440 | utf_8 | d1a83ee5c03883bb66c50ad7ee2ea7e1 | function ProjTrig(Trig,PrjMat,Img,RasterP,Colors,ClearP)
if(nargin<6)
ClearP=true;
if(nargin<5)
Colors=['r','g','b','c','y'];
if(nargin<4)
RasterP=false;
if(nargin<3)
Img=[];
end
end
end
end
Ncolrs=length(Colors);
if(isempty(Img)... |
github | fethallah/geodesics4meshes-master | compute_butterfly_neighbors.m | .m | geodesics4meshes-master/matlab/toolbox/compute_butterfly_neighbors.m | 1,398 | utf_8 | 0a690efe10cc4cbba37565df43f15a2f | function [e,v,g] = compute_butterfly_neighbors(k, nj)
% compute_butterfly_neighbors - compute local neighbors of a vertex
%
% [e,v,g] = compute_butterfly_neighbors(k, nj);
%
% This is for internal use.
%
% e are the 2 direct edge neighbors
% v are the 2 indirect neighbors
% g are the fare neighbors
%
% You nee... |
github | fethallah/geodesics4meshes-master | compute_geodesic_mesh.m | .m | geodesics4meshes-master/matlab/toolbox/compute_geodesic_mesh.m | 4,234 | utf_8 | f3e2ddf4b7d47f9f8d9226288e74c5d7 | function [path,vlist,plist] = compute_geodesic_mesh(D, vertex, face, x, options)
% compute_geodesic_mesh - extract a discrete geodesic on a mesh
%
% [path,vlist,plist] = compute_geodesic_mesh(D, vertex, face, x, options);
%
% D is the set of geodesic distances.
%
% path is a 3D curve that is the shortest path st... |
github | fethallah/geodesics4meshes-master | ProjectPoint.m | .m | geodesics4meshes-master/matlab/toolbox/ProjectPoint.m | 284 | utf_8 | 63fb0e35246ef18c79d3030369cbce69 | % Project point by multiplying coordinates by projection matrix and
% adding one to convert to matlab array coordinates.
function [u,v]=ProjectPoint(Proj,Pt,RoundP)
UVW=Proj*[Pt;1];
u=UVW(1)/UVW(3)+1;
v=UVW(2)/UVW(3)+1;
if((nargin>2)&&RoundP)
u=round(u);
v=round(v);
end
|
github | fethallah/geodesics4meshes-master | load_spherical_function.m | .m | geodesics4meshes-master/matlab/toolbox/load_spherical_function.m | 1,810 | utf_8 | 1999ea966df43f6770f67d42cee2a6f7 | function f = load_spherical_function(name, pos, options)
% load_spherical_function - load a function on the sphere
%
% f = load_spherical_function(name, pos, options);
%
% Copyright (c) 2007 Gabriel Peyre
if iscell(pos)
pos = pos{end};
end
if size(pos,1)>size(pos,2)
pos = pos';
end
x = pos(1,:); x = x(:... |
github | fethallah/geodesics4meshes-master | perform_spherial_planar_sampling.m | .m | geodesics4meshes-master/matlab/toolbox/perform_spherial_planar_sampling.m | 2,972 | utf_8 | 76d71d45fe348bef0c0f7dd26434dc52 | function posw = perform_spherial_planar_sampling(pos_sphere, sampling_type)
% perform_spherial_planar_sampling - project sampling location from sphere to a square
%
% posw = perform_spherial_planar_sampling(pos_sphere, type)
%
% 'type' can be 'area' or 'gnomonic'.
%
% This is used to produced spherical geo... |
github | fethallah/geodesics4meshes-master | PickTrig.m | .m | geodesics4meshes-master/matlab/toolbox/PickTrig.m | 7,401 | utf_8 | 994fc4a3f24f41dbf1bd3befd910d4ed | % Pick a vertex of an edge of a triangulation overlaid on an image.
function PickTrig(Trig,Proj,Img,FacetsP,EdgesP)
if(nargin<3)
Img=[];
end
if(nargin<4)
FacetsP=false;
end
if(nargin<5)
EdgesP=true;
end
% Open a new figure.
figure;
% Compute vertex projections
[Us,Vs]=ProjectTrig(Trig,... |
github | fethallah/geodesics4meshes-master | pick_points.m | .m | geodesics4meshes-master/matlab/toolbox/pick_points.m | 469 | utf_8 | 269962df4eab70bdde6e187b98cfcd32 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% pick_points.m : Points = pick_points(Image, nb_points, msg)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function P = pick_points(n)
P = ones(2,n);
for nbp = 1:n
start_point = ginput(1);
... |
github | fethallah/geodesics4meshes-master | ProjectTrig.m | .m | geodesics4meshes-master/matlab/toolbox/ProjectTrig.m | 672 | utf_8 | 21f31ca62a367d5b076c18a85dc91f89 | % Project vertices by multiplying coordinates by projection matrix and
% adding one to convert to matlab array coordinates.
function [Us,Vs]=ProjectTrig(Trig,Proj)
if((3==size(Proj,1))&&(4==size(Proj,2)))
scale=1;
XYZs=[Trig.Coords';ones(1,size(Trig.Coords,1))];
UVWs=Proj*XYZs;
Us=scale * UVWs(1,:)./U... |
github | fethallah/geodesics4meshes-master | pdftops.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/pdftops.m | 3,227 | utf_8 | abd2b05467d3442adb33f4514e637bf0 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for futur... |
github | fethallah/geodesics4meshes-master | pdf2eps.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/pdf2eps.m | 1,359 | utf_8 | 8b3533d7c584c083b9ea03c725327c76 | %PDF2EPS Convert a pdf file to eps format using pdftops
%
% Examples:
% pdf2eps source dest
%
% This function converts a pdf file to eps format.
%
% This function requires that you have pdftops, from the Xpdf suite of
% functions, installed on your system. This can be downloaded from:
% http://www.foolabs.c... |
github | fethallah/geodesics4meshes-master | print2array.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/print2array.m | 3,482 | utf_8 | b2bf096c446eaedf2c0a2e18e2830181 | %PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
%
% This function outputs a bitmap image of the given figure, at the desired
% resolution... |
github | fethallah/geodesics4meshes-master | change_value.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/change_value.m | 1,349 | utf_8 | 041103967e008003ce45273c639736b7 | %CHANGE_VALUE Change the value assigned to a unique variable in a file
%
% Examples:
% fail = change_value(fullPath, variableName, value)
%
% Function to change the value assigned to a variable in a text file. The
% assignment must exist already, and must be on a line on its own. Only the
% first such assignment is ... |
github | fethallah/geodesics4meshes-master | eps2pdf.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/eps2pdf.m | 3,834 | utf_8 | af4ba06094f3ddd2c7404bc98240aaaa | %EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, dest, crop, append, gray, quality)
%
% This function converts an eps file... |
github | fethallah/geodesics4meshes-master | export_fig.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/export_fig.m | 24,675 | utf_8 | ee544022f7894ec6ed2c3892614abd10 | %EXPORT_FIG Exports figures suitable for publication
%
% Examples:
% im = export_fig
% [im alpha] = export_fig
% export_fig filename
% export_fig filename -format1 -format2
% export_fig ... -nocrop
% export_fig ... -native
% export_fig ... -m<val>
% export_fig ... -r<val>
% export_fig ... ... |
github | fethallah/geodesics4meshes-master | ghostscript.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/ghostscript.m | 3,439 | utf_8 | 78d681e9881f4c7ff232503b1f0044d5 | function varargout = ghostscript(cmd)
%GHOSTSCRIPT Calls a local GhostScript executable with the input command
%
% Example:
% [status result] = ghostscript(cmd)
%
% Attempts to locate a ghostscript executable, finally asking the user to
% specify the directory ghostcript was installed into. The resulting path... |
github | fethallah/geodesics4meshes-master | print2eps.m | .m | geodesics4meshes-master/matlab/toolbox/export_fig/print2eps.m | 1,846 | utf_8 | b35c00359f5f3745c0ab843d7ed7e269 | %PRINT2EPS Prints figures to eps with improved line styles
%
% Examples:
% print2eps filename
% print2eps(filename, fig_handle)
% print2eps(filename, fig_handle, options)
%
% This function saves a figure as an eps file, and improves the line style,
% making dashed lines more like those on screen and givi... |
github | fethallah/geodesics4meshes-master | compute_tensor_domain.m | .m | geodesics4meshes-master/matlab/projects/meshing-domain/compute_tensor_domain.m | 3,032 | utf_8 | f87653cad061703facafa89a333dfb21 | function H = compute_tensor_domain(M,metric_type,options)
% compute_tensor_domain - compute a tensor field that follows the normal
%
% H = compute_tensor_domain(M, metric_type, options);
%
% M is a binary image, M==1 is the shape.
% H is a tensor that is rank-1 following the tangent to the domain, and
% smooth... |
github | fethallah/geodesics4meshes-master | draw_polygons.m | .m | geodesics4meshes-master/matlab/projects/grouping-perceptual/draw_polygons.m | 602 | utf_8 | 6643e5856e92d6350c02dcf230173571 | function sk = draw_polygons(n,r,point_list)
if not(iscell(point_list))
point_list = {point_list};
end
sk = zeros(n);
for i=1:length(point_list)
pl = point_list{i};
for k=2:length(pl)
sk = draw_line(sk,pl(1,k-1),pl(2,k-1),pl(1,k),pl(2,k),r);
end
end
function sk = draw_line(sk,x1,y1,x2,y2,r)
... |
github | fethallah/geodesics4meshes-master | compute_hessian_gaussian.m | .m | geodesics4meshes-master/matlab/projects/grouping-perceptual/compute_hessian_gaussian.m | 2,445 | utf_8 | 915c370a860b586cc1ab59a0b91e7ccd | function [T] = compute_hessian_gaussian(I, halfwindow, sigma)
n = size(I,1);
T = ones(n,n,2,2);
shw = halfwindow*2+1;
kernelGxx = ones(shw,shw);
kernelGyy = ones(shw,shw);
kernelGxy = ones(shw,shw);
sumxx = 0;
sumyy = 0;
sumxy = 0;
for y = -halfwindow:halfwindow
for x = ... |
github | fethallah/geodesics4meshes-master | pick_points.m | .m | geodesics4meshes-master/matlab/projects/grouping-perceptual/pick_points.m | 576 | utf_8 | 9dbce3fc67afeddd0f458cc6700c2a51 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% pick_points.m : Points = pick_points(Image, nb_points)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function P = pick_points(M, n)
P = ones(2,n);
figure;
imageplot(M);
axis image; axis off;
... |
github | GustavHager/opencv_contrib-master | modelConvert.m | .m | opencv_contrib-master/doc/tutorials/ximgproc/training/scripts/modelConvert.m | 2,117 | utf_8 | dd8b0dc376b1da49ced7529a9e3a7723 | function modelConvert(model, outname)
%% script for converting Piotr's matlab model into YAML format
outfile = fopen(outname, 'w');
fprintf(outfile, '%%YAML:1.0\n\n');
fprintf(outfile, ['options:\n'...
' numberOfTrees: 8\n'...
' numberOfTreesToEvaluate: 4\n'...
... |
github | GustavHager/opencv_contrib-master | modelConvert.m | .m | opencv_contrib-master/modules/ximgproc/tutorials/scripts/modelConvert.m | 2,117 | utf_8 | dd8b0dc376b1da49ced7529a9e3a7723 | function modelConvert(model, outname)
%% script for converting Piotr's matlab model into YAML format
outfile = fopen(outname, 'w');
fprintf(outfile, '%%YAML:1.0\n\n');
fprintf(outfile, ['options:\n'...
' numberOfTrees: 8\n'...
' numberOfTreesToEvaluate: 4\n'...
... |
github | MISS3D/s2p-master | demo_ASIFT.m | .m | s2p-master/3rdparty/demo_ASIFT_src/demo_ASIFT.m | 4,023 | utf_8 | e272bdcadd3d87dd83d9992b7995dffb | %*-------------------demo_ASIFT MATLAB interface -------------------------*/
%
% *************************************************************************
% NOTE: The ASIFT SOFTWARE ./demo_ASIFT IS STANDALONE AND CAN BE EXECUTED
% WITHOUT MATLAB.
% *************************************************************... |
github | dariasor/TreeExtra-master | make_effect_plot.m | .m | TreeExtra-master/OctavePlots/make_effect_plot.m | 1,099 | utf_8 | c1c5fd20ca896bff173f6b6029ccd1c7 | % (C) Alexander Sorokin, Daria Sorokina, 2009
% License: New BSD.
function make_effect_plot(xvalues, xcounts, values, plot_title)
clf
axes('position',[0.1 0.2,0.8 0.7])
hold on
%lc = [198 198 198]/255;
%lw = 3;
n = numel(xvalues);
hasMV = (xvalues(n) == 0);
if(hasMV)
h = plot(xvalues(1:n-1), values(1:n-1));
else
... |
github | dariasor/TreeExtra-master | make_interaction_plot.m | .m | TreeExtra-master/OctavePlots/make_interaction_plot.m | 2,009 | utf_8 | 3d22061887a2ecc128207260ef54055e | % (C) Alexander Sorokin, Daria Sorokina
% License: New BSD.
function make_interaction_plot(xvalues, xcounts, yvalues, ycounts, values, density, xlabelstr, plot_title)
clf
hold on
lw_scale = 6/numel(yvalues);
lw_offset = 3;
lc_scale = [198 198 198]/255/numel(yvalues);
lc_offset = [0 0 0];
celln = sum(xcounts)*sum(yco... |
github | artmunich/MachineLearning-master | submit.m | .m | MachineLearning-master/machine-learning-ex2/submit.m | 1,605 | utf_8 | 9b63d386e9bd7bcca66b1a3d2fa37579 | function submit()
addpath('./lib');
conf.assignmentSlug = 'logistic-regression';
conf.itemName = 'Logistic Regression';
conf.partArrays = { ...
{ ...
'1', ...
{ 'sigmoid.m' }, ...
'Sigmoid Function', ...
}, ...
{ ...
'2', ...
{ 'costFunction.m' }, ...
'Logistic R... |
github | artmunich/MachineLearning-master | submitWithConfiguration.m | .m | MachineLearning-master/machine-learning-ex2/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | artmunich/MachineLearning-master | savejson.m | .m | MachineLearning-master/machine-learning-ex2/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | artmunich/MachineLearning-master | loadjson.m | .m | MachineLearning-master/machine-learning-ex2/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | artmunich/MachineLearning-master | loadubjson.m | .m | MachineLearning-master/machine-learning-ex2/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | artmunich/MachineLearning-master | saveubjson.m | .m | MachineLearning-master/machine-learning-ex2/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | artmunich/MachineLearning-master | submit.m | .m | MachineLearning-master/machine-learning-ex4/submit.m | 1,635 | utf_8 | ae9c236c78f9b5b09db8fbc2052990fc | function submit()
addpath('./lib');
conf.assignmentSlug = 'neural-network-learning';
conf.itemName = 'Neural Networks Learning';
conf.partArrays = { ...
{ ...
'1', ...
{ 'nnCostFunction.m' }, ...
'Feedforward and Cost Function', ...
}, ...
{ ...
'2', ...
{ 'nnCostFunct... |
github | artmunich/MachineLearning-master | submitWithConfiguration.m | .m | MachineLearning-master/machine-learning-ex4/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.