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github
chjp2046/thirdparty-master
director_string_runme.m
.m
thirdparty-master/swig-2.0.4/Examples/test-suite/octave/director_string_runme.m
456
utf_8
253061c50e9f69d1d7f90b0bf7c64b21
director_string function out=get_first(self) out = strcat(self.A.get_first()," world!"); end function process_text(self,string) self.A.process_text(string); self.smem = "hello"; end B=@(string) subclass(A(string),'get_first',@get_first,'process_text',@process_text); b = B("hello"); b.get(0); if (!strcmp(b.ge...
github
chjp2046/thirdparty-master
voidtest_runme.m
.m
thirdparty-master/swig-2.0.4/Examples/test-suite/octave/voidtest_runme.m
489
utf_8
e8f18ed9dcf24d5fabce570c881dde59
voidtest voidtest.globalfunc(); f = voidtest.Foo(); f.memberfunc(); voidtest.Foo_staticmemberfunc(); function fvoid() end try a = f.memberfunc(); catch end_try_catch try a = fvoid(); catch end_try_catch v1 = voidtest.vfunc1(f); v2 = voidtest.vfunc2(f); if (swig_this(v1) != swig_this(v2)) error endif v3 =...
github
chjp2046/thirdparty-master
director_detect_runme.m
.m
thirdparty-master/swig-2.0.4/Examples/test-suite/octave/director_detect_runme.m
659
utf_8
ed20d6fcffc7c81a27de292afc945862
director_detect global MyBar=@(val=2) \ subclass(director_detect.Bar(),'val',val,@get_value,@get_class,@just_do_it,@clone); function val=get_value(self) self.val = self.val + 1; val = self.val; end function ptr=get_class(self) global director_detect; self.val = self.val + 1; ptr=director_detect.A();...
github
chjp2046/thirdparty-master
preproc_constants_runme.m
.m
thirdparty-master/swig-2.0.4/Examples/test-suite/octave/preproc_constants_runme.m
533
utf_8
917a1bdadc03d5ce92d7468e9c4c81b2
preproc_constants assert(CONST_INT1, 10) assert(CONST_DOUBLE3, 12.3) assert(CONST_BOOL1, true) assert(CONST_CHAR, 'x') assert(CONST_STRING1, "const string") # Test global constants can be seen within functions function test_global() global CONST_INT1 global CONST_DOUBLE3 global CONST_BOOL1 global CO...
github
chjp2046/thirdparty-master
director_classic_runme.m
.m
thirdparty-master/swig-2.0.4/Examples/test-suite/octave/director_classic_runme.m
2,411
utf_8
168e96aff7298695046a230adc01e911
director_classic TargetLangPerson=@() subclass(Person(),'id',@(self) "TargetLangPerson"); TargetLangChild=@() subclass(Child(),'id',@(self) "TargetLangChild"); TargetLangGrandChild=@() subclass(GrandChild(),'id',@(self) "TargetLangGrandChild"); # Semis - don't override id() in target language TargetLangSemiPerson=@()...
github
chjp2046/thirdparty-master
exception_order_runme.m
.m
thirdparty-master/swig-2.0.4/Examples/test-suite/octave/exception_order_runme.m
898
utf_8
a9559c0998ed1178eef715d5314f32e1
exception_order function check_lasterror(expected) if (!strcmp(lasterror.message, expected)) # Take account of older versions prefixing with "error: " and adding a newline at the end if (!strcmp(regexprep(lasterror.message, 'error: (.*)\n$', '$1'), expected)) error(["Bad exception order. Expected: \"",...
github
chjp2046/thirdparty-master
director_abstract_runme.m
.m
thirdparty-master/swig-2.0.4/Examples/test-suite/octave/director_abstract_runme.m
993
utf_8
010e2a8f3e12a660ec6f6b89f629f5fd
director_abstract MyFoo=@() subclass(director_abstract.Foo(),@ping); function out=ping(self) out="MyFoo::ping()"; end a = MyFoo(); if (!strcmp(a.ping(),"MyFoo::ping()")) error(a.ping()) endif if (!strcmp(a.pong(),"Foo::pong();MyFoo::ping()")) error(a.pong()) endif MyExample1=@() subclass(director_abstract....
github
chjp2046/thirdparty-master
runme.m
.m
thirdparty-master/swig-2.0.4/Examples/octave/class/runme.m
1,000
utf_8
72e73d7e7b69ccc074cb6a9204d36b55
# file: runme.m # This file illustrates the proxy class C++ interface generated # by SWIG. example # ----- Object creation ----- printf("Creating some objects:\n"); c = example.Circle(10) s = example.Square(10) # ----- Access a static member ----- printf("\nA total of %i shapes were created\n", example.Shape.nsh...
github
SRI-CSL/linguist-master
convert_variable.m
.m
linguist-master/samples/Matlab/convert_variable.m
2,186
utf_8
3d73feb0b3feaa01d8b434d83f275241
function [name, order] = convert_variable(variable, output) % Returns the name and order of the given variable in the output type. % % Parameters % ---------- % variable : string % A variable name. % output : string. % Either `moore`, `meijaard`, `data`. % % Returns % ------- % name : string % The variable name i...
github
SRI-CSL/linguist-master
create_ieee_paper_plots.m
.m
linguist-master/samples/Matlab/create_ieee_paper_plots.m
34,238
utf_8
3cf9c020f3fbd215ddc5182743c38bc8
function create_ieee_paper_plots(data, rollData) % Creates all of the figures for the IEEE paper. % % Parameters % ---------- % data : structure % A structure contating the data from generate_data.m for all of the bicycles % and speeds for the IEEE paper. % rollData : structure % The data for a single bicycle at ...
github
SRI-CSL/linguist-master
plant.m
.m
linguist-master/samples/Matlab/plant.m
2,087
utf_8
daf74d53d9253d37bd69d59c76021156
function Yc = plant(varargin) % function Yc = plant(varargin) % % Returns the system plant given a number. % % Parameters % ---------- % varargin : variable % Either supply a single argument {num} or three arguments {num1, num2, % ratio}. If a single argument is supplied, then one of the six transfer % functions ...
github
sakov/nn-c-master
viewinterp.m
.m
nn-c-master/nn/examples/4/viewinterp.m
2,966
utf_8
7417d9126bc9a9d26e8e9a0521bfadb3
function [h] = viewinterp(fin, fout, verbose) if nargin == 2 verbose = 1; end if verbose fprintf('plotting data from "%s" and "%s"\n', fin, fout); fprintf(' reading "%s"...', fin); end data = load(fin); xin = data(:, 1); yin = data(:, 2); if verbose ...
github
sakov/nn-c-master
viewdata.m
.m
nn-c-master/nn/examples/4/viewdata.m
999
utf_8
67b71a780846700538c2885622196091
function [] = viewdata(fname, verbose) if nargin == 1 verbose = 1; end if verbose fprintf('plotting data from "%s"\n', fname); fprintf(' reading %s...', fname); end data = load(fname); x = data(:, 1); y = data(:, 2); z = data(:, 3); clear data; i...
github
sakov/nn-c-master
viewinterp.m
.m
nn-c-master/nn/examples/2/viewinterp.m
2,958
utf_8
d26d767db6166fd61aed3acb8e998426
function [h] = viewinterp(fin, fout, verbose) if nargin == 2 verbose = 1; end if verbose fprintf('plotting data from "%s" and "%s"\n', fin, fout); fprintf(' reading "%s"...', fin); end data = load(fin); xin = data(:, 1); yin = data(:, 2); if verbose ...
github
sakov/nn-c-master
viewdata.m
.m
nn-c-master/nn/examples/2/viewdata.m
997
utf_8
ab48c38062dcedc76ab2a8753db22db8
function [] = viewdata(fname, verbose) if nargin == 1 verbose = 1; end if verbose fprintf('plotting data from "%s"\n', fname); fprintf(' reading %s...', fname); end data = load(fname); x = data(:, 1); y = data(:, 2); z = data(:, 3); clear data; i...
github
sakov/nn-c-master
viewinterp.m
.m
nn-c-master/nn/examples/6/viewinterp.m
2,979
utf_8
770a921fde90549389e40ac980a5208b
function [h] = viewinterp(fin, fout, verbose) if nargin == 2 verbose = 1; end if verbose fprintf('plotting data from "%s" and "%s"\n', fin, fout); fprintf(' reading "%s"...', fin); end data = load(fin); xin = data(:, 1); yin = data(:, 2); if verbose ...
github
sakov/nn-c-master
viewinterp.m
.m
nn-c-master/nn/examples/5/viewinterp.m
2,981
utf_8
fad5d5a9a7e23e2a58f6f50878e9e6b0
function [h] = viewinterp(fin, fout, verbose) if nargin == 2 verbose = 1; end if verbose fprintf('plotting data from "%s" and "%s"\n', fin, fout); fprintf(' reading "%s"...', fin); end data = load(fin); xin = data(:, 1); yin = data(:, 2); if verbose ...
github
sakov/nn-c-master
viewinterp2.m
.m
nn-c-master/nn/examples/5/viewinterp2.m
2,614
utf_8
9632542297375653452730a61f73ee6f
function [h] = viewinterp2(fin, fout, verbose) if nargin == 2 verbose = 1; end if verbose fprintf('plotting data from "%s" and "%s"\n', fin, fout); fprintf(' reading "%s"...', fin); end data = load(fin); xin = data(:, 1); yin = data(:, 2); zin = data(:, 3); ...
github
sakov/nn-c-master
viewexample.m
.m
nn-c-master/nn/examples/1/viewexample.m
1,430
utf_8
d42115a123b638b5c17966468e631c2a
function viewexample() subplot(3, 1, 1); view('data-100.txt', 'out-100.txt'); title('100 data points'); pause(0.1); subplot(3, 1, 2); view('data-300.txt', 'out-300.txt'); title('300 data points'); pause(0.1); subplot(3, 1, 3); view('data-1000.txt', 'out-1000.txt'); title('...
github
UA3MQJ/fpga-synth-master
lpf_fir_comp_coeff.m
.m
fpga-synth-master/examples/EP2C5_I2S_DAC/lpf_fir_comp_coeff.m
8,341
utf_8
07a5d8e1c4330ef7433d00326d092130
%% ================================================================================ %% Legal Notice: Copyright (C) 1991-2008 Altera Corporation %% Any megafunction design, and related net list (encrypted or decrypted), %% support information, device programming or simulation file, and any other %% associated documentat...
github
germanRos/FRADM-master
FRADM.m
.m
FRADM-master/FRADM.m
6,540
utf_8
fa43da3d9818a3d7722582770b8e9650
function [A_hat, E_hat, iter, U, V, B] = FRADM(D, lambda, lrank, tol, maxIter) % Nov. 2014 % This code implements the Fixed-Rank Alternated Direction Method with Augmented Lagrange Multiplier % algorithm for Robust Fixed-Rank Sparse Decompositions. % % D - m x n matrix of probably corrupted data % % lambda - we...
github
GitDerek/multiscale_fem-master
q1elem_Lap.m
.m
multiscale_fem-master/q1elem_Lap.m
2,159
utf_8
de96fe0c8640b280617e77e736c40b6f
function M = Q1elem_Lap(vertices, epsilon, a1, a2) % computation of the element stiffness matrix with Q1 element % for Laplace operator node = vertices; [Th, msBasis] = solveLocalBasis(node(1,1), node(1,2), node(3,1), node(3,2), 20, epsilon, a1, a2); nE = Th.getNumElements(); ...
github
GitDerek/multiscale_fem-master
solveLocalBasis.m
.m
multiscale_fem-master/solveLocalBasis.m
2,281
utf_8
a43588121a73382f6988f66137a141d3
function [Th, msBasis] = solveLocalBasis(x0, y0, x1, y1, n, epsilon, a1, a2) Th = RectangleMesh(x0, y0, x1, y1, n, n); macroCoordinates = Th.coordinates; macroElements = Th.elements; % Th.showMesh() %% compute boundary vertices and edges % four boundary edges k1 = find( macroCoordinates(:,2) == y0 ); k2 = find( macr...
github
GitDerek/multiscale_fem-master
test_function.m
.m
multiscale_fem-master/test/test_function.m
3,851
utf_8
0110ae1c74c34a79f679b46737db443f
function test_function n = 4; Th = RectangleMesh(0,0,1,1,n,n); coordinates = Th.coordinates; elements = Th.elements; figure(2) Th.showMesh(); cc = coordinates(elements(6,:),:) solveLocalBasis(cc(1,1), cc(1,2), cc(3,1), cc(3,2), 100, 0.01, 1/2, sqrt(3)/2); % [bdNode,bdEdge,isBdNode,isBdElem] = findquadboundary(Th.ele...
github
GitDerek/multiscale_fem-master
Untitled.m
.m
multiscale_fem-master/test/Untitled.m
6,582
utf_8
2adb7f3f545fe83cc03abaad0cfbf760
function Untitled() tic %% define a uniform finite element mesh over the unit square [0,1]x[0,1] epsilon = 0.001; a1 = 1/2; a2 = sqrt(3)/2; n = 20; Th = RectangleMesh(0,0,1,1,n,n); coordinates = Th.coordinates; elements = Th.elements; %% compute boundary vertices and edges % four boundary edges k1 = find( coordinate...
github
utvisionlab/mixest-master
mxe_estimate.m
.m
mixest-master/mixest/estimation/mxe_estimate.m
11,676
utf_8
db783ef724f7167c1c56ae2580491074
%% |mxe_estimate| % *Note:* This is a private function. % % Main estimation function using manifold optimization % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % function [...
github
utvisionlab/mixest-master
Integral_Method.m
.m
mixest-master/mixest/distributions/ag/Integral_Method.m
803
utf_8
97ba5a4c5173669a920f6413716af8ab
function A = Integral_Method(mat, Tol) %% % Calculating the expected logarithm of weighted sum of chi-square % distribution (A = E[ \log \sum d_i N_i^2]) with the integral method % % Written by: Pourya H. Zadeh % eigs should be a column vector [r, c] = size(mat); if r == c eigs = eig(mat); else eigs = mat; end...
github
utvisionlab/mixest-master
agfactory.m
.m
mixest-master/mixest/distributions/ag/agfactory.m
12,493
utf_8
9219c1b2f15a97d909ac65b8e71a132b
%% |agfactory| % Construct an angular-Gaussian distribution structure % % *Syntax* % % D = agfactory(datadim) % % *Description* % % |D = agfactory(datadim)| returns a structure representing a % |datadim|-dimensional angular-Gaussian distribution. % % *Distribution Parameters* % % * *|sigma|* (|datadim-by-datadim| mat...
github
utvisionlab/mixest-master
ag_estimatedefault.m
.m
mixest-master/mixest/distributions/ag/ag_estimatedefault.m
2,254
utf_8
c8b3837077a91341f29600090159c554
%% |ag_estimatedefault| % *Note:* This is a private function. % % Default estimation function for eg distribution % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Yasaman Etesam % Pourya H. Zadeh % % Change log:...
github
utvisionlab/mixest-master
moefactory.m
.m
mixest-master/mixest/distributions/mixture/moefactory.m
12,962
utf_8
d122434c55a3e92d92e862a5eee8df8a
%% |moefactory| % Construct a mixture of experts distribution structure % % *Syntax* % % D = mixturefactory(GateD, ExpertD) % % *Description* % % |D = mixturefactory(GateD, ExpertD)| returns a structure representing a % mixture of experts distribution. |GatetD| is a gate structure. |ExpertD| % defines the expert dist...
github
utvisionlab/mixest-master
mixture_visualize.m
.m
mixest-master/mixest/distributions/mixture/mixture_visualize.m
4,476
utf_8
ccfc36bceabe2d3df9578d9dc82d6800
%% |mixture_visualize| % *Note:* This is a private function. % % Mixture distribution visualization % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % function handle_array =...
github
utvisionlab/mixest-master
meg_estimatedefault.m
.m
mixest-master/mixest/distributions/mixture/meg_estimatedefault.m
7,914
utf_8
d37f9ef01f2dbcb3b301433b216d615d
%% |meg_estimatedefault| % *Note:* This is a private function. % % Default estimation function for the MEG distribution. Implements the % Expectation Maximization (EM) algorithm. % % For using MEG estimate default, create a mixture of EGs and then % D.estimatedefault = @(varargin)meg_estimatedefault(D, varargin{:}); ...
github
utvisionlab/mixest-master
mixture_mergeinit.m
.m
mixest-master/mixest/distributions/mixture/mixture_mergeinit.m
4,012
utf_8
d5530e7bb7a222069dd99b10e6b4ae03
%% |mixture_mergeinit| % *Note:* This is a private function. % % Calculate the initial parameters for a merged mixture component to be % substituted for two given components % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad H...
github
utvisionlab/mixest-master
mixture_estimatedefault.m
.m
mixest-master/mixest/distributions/mixture/mixture_estimatedefault.m
7,021
utf_8
9fe692f8917b64e79e68c36a5037a58f
%% |mixture_estimatedefault| % *Note:* This is a private function. % % Default estimation function for the mixture distribution. Implements the % Expectation Maximization (EM) algorithm. % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors...
github
utvisionlab/mixest-master
mixture_splitcandidates.m
.m
mixest-master/mixest/distributions/mixture/mixture_splitcandidates.m
4,717
utf_8
1338f4a73fd6d7b977607cbf6ac6d57a
%% |mixture_splitcandidates| % *Note:* This is a private function. % % Sort mixture components for splitting, based on given split method % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % C...
github
utvisionlab/mixest-master
mixturefactory_mashal.m
.m
mixest-master/mixest/distributions/mixture/mixturefactory_mashal.m
55,602
utf_8
916bea07bb00a3c43f0a02e36e77e33c
%% |mixturefactory| % Construct a mixture distribution structure % % *Syntax* % % D = mixturefactory(ComponentD, num) % D = mixturefactory(ComponentD) % % *Description* % % |D = mixturefactory(ComponentD, num)| returns a structure representing a % mixture distribution. |ComponentD| is a distribution structure defin...
github
utvisionlab/mixest-master
mixture_splitinit.m
.m
mixest-master/mixest/distributions/mixture/mixture_splitinit.m
4,668
utf_8
193ef084f2ac806da44e62642a49f6de
%% |mixture_splitinit| % *Note:* This is a private function. % % Calculate the initial parameters for two splitted mixture components to % be substituted for the given component % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Resh...
github
utvisionlab/mixest-master
mixture_mergecandidates.m
.m
mixest-master/mixest/distributions/mixture/mixture_mergecandidates.m
2,197
utf_8
8428e7c9ff9dde257e556abbd19cc132
%% |mixture_mergecandidates| % *Note:* This is a private function. % % Sort mixture components for merging, based on given merge method % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Cha...
github
utvisionlab/mixest-master
moe_estimatedefault.m
.m
mixest-master/mixest/distributions/mixture/moe_estimatedefault.m
7,209
utf_8
ab743dd98fea9cd515d30deabfede201
%% |moe_estimatedefault| % *Note:* This is a private function. % % Default estimation function for the mixtures of experts. Implements the % Expectation Maximization (EM) algorithm. % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % ...
github
utvisionlab/mixest-master
gaussianizationfactory.m
.m
mixest-master/mixest/distributions/gaussianize/gaussianizationfactory.m
17,005
utf_8
d7da3cf0fbe472b3708ad48cc181f3dd
%% |gaussianizationfactory| % Construct a Gaussianization distribution structure % % *Syntax* % % D = gaussianization(LayerD, num) % D = gaussianization(LayerD) % % *Description* % % |D = gaussianization(LayerD, num)| returns a structure representing a % gaussianization distribution. |LayerD| is a distribution stru...
github
utvisionlab/mixest-master
gamma_estimatedefault.m
.m
mixest-master/mixest/distributions/gamma/gamma_estimatedefault.m
1,490
utf_8
b0592eec0081f8211604b1de081eb321
%% |gamma_estimatedefault| % *Note:* This is a private function. % % Default estimation function for the gamma distribution % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % ...
github
utvisionlab/mixest-master
gammafactory.m
.m
mixest-master/mixest/distributions/gamma/gammafactory.m
15,305
utf_8
ba3a51263b5d2462d26181f3f36cd3f9
%% |gammafactory| % Construct a gamma distribution structure % % *Syntax* % % D = gammafactory() % % *Description* % % |D = gammafactory()| returns a structure representing a gamma % distribution. % % *Distribution Parameters* % % * *|a|* (positive scalar) : The shape parameter. % * *|b|* (positive scalar) : The scal...
github
utvisionlab/mixest-master
factorialfactory.m
.m
mixest-master/mixest/distributions/factorial/factorialfactory.m
17,289
utf_8
7a3db866565fad81f3db903a6cd043cd
%% |factorialfactory| % Construct a factorial distribution structure % % *Syntax* % % D = factorialfactory(ComponentD, num) % D = factorialfactory(ComponentD) % % *Description* % % |D = factorialfactory(ComponentD, num)| returns a structure representing a % factorial distribution. |ComponentD| is a distribution str...
github
utvisionlab/mixest-master
factorialmogfactory.m
.m
mixest-master/mixest/distributions/factorial/factorialmogfactory.m
15,378
utf_8
8b69adec39ad5d5fb49817c8cc01c27e
%% |factorialmogfactory| % Construct a factorial distribution with MoG distributions for factors % % *Syntax* % % D = factorialmogfactory(numCpt, num) % % *Description* % % |D = factorialfactory(numCpt, num)| returns a structure representing a % factorial distribution. |numCpt| is number of Gaussian components % for ...
github
utvisionlab/mixest-master
mxe_addsharedfields.m
.m
mixest-master/mixest/distributions/common/mxe_addsharedfields.m
2,047
utf_8
b2996969833a7b3f388f59dfa8b0a09f
%% |mxe_addsharedfields| % *Note:* This is a private function. % % Add shared fields to distribution structures % % *Syntax* % % D = mxe_addsharedfields(D) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Moham...
github
utvisionlab/mixest-master
mxe_BIC.m
.m
mixest-master/mixest/distributions/common/mxe_BIC.m
707
utf_8
e4fb6a4cdaefb2a52f03f7979e1c5651
%% |mxe_BIC| % *Note:* This is a private function. % % Calculate BICc % % *Syntax* % % bic = mxe_BIC(D, data) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % function bi...
github
utvisionlab/mixest-master
mxe_AICc.m
.m
mixest-master/mixest/distributions/common/mxe_AICc.m
447
utf_8
5e5bbfdbbf27dff91044dc128c2b9acf
%% |mxe_AICc| % *Note:* This is a private function. % % Calculate AICc % % *Syntax* % % aicc = mxe_AICc(D, data) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % function...
github
utvisionlab/mixest-master
cmvn2factory.m
.m
mixest-master/mixest/distributions/mvn/cmvn2factory.m
16,259
utf_8
a9e24c118a23118c154e644a28f39231
%% |cmvn2factory| % Construct a reparameterized conditional multi-variate normal distribution % structure % % *Syntax* % % D = cmvn2factory(datadim, conddim) % % *Description* % % |D = cmvnfactory(datadim, conddim)| returns a structure representing a % conditional normal distribution with a special reparameterization...
github
utvisionlab/mixest-master
mvn_selfsplit.m
.m
mixest-master/mixest/distributions/mvn/mvn_selfsplit.m
1,690
utf_8
4d12d2862892740f33272d4b49d0d5fc
%% |mvn_selfsplit| % *Note:* This is a private function. % % Calculate the initial parameter values for two splitted distributions to % be substituted for the current distribution. Each parameter should be % requested by a separate call with an optional specific method. % % Copyright 2015 Reshad Hosseini and Mohamadre...
github
utvisionlab/mixest-master
mvn_estimatedefault.m
.m
mixest-master/mixest/distributions/mvn/mvn_estimatedefault.m
1,194
utf_8
78a4fcebecf3e37c484cb2f296b25298
%% |mvn_estimatedefault| % *Note:* This is a private function. % % Default estimation function for the multi-variate normal distribution % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Ch...
github
utvisionlab/mixest-master
mvn2cholfactory.m
.m
mixest-master/mixest/distributions/mvn/mvn2cholfactory.m
16,757
utf_8
b55027796f3d066862ef89a88424f88c
%% |mvn2cholfactory| % Construct a reparameterized multi-variate normal distribution structure % % *Syntax* % % D = mvn2cholfactory(datadim) % % *Description* % % |D = mvn2cholfactory(datadim)| returns a structure representing a % |datadim|-dimensional normal distribution with a special % reparameterization. % % *Dis...
github
utvisionlab/mixest-master
mvn2icholfactory.m
.m
mixest-master/mixest/distributions/mvn/mvn2icholfactory.m
16,055
utf_8
c87e959174d4679e191fc2f42135ae8b
%% |mvn2icholfactory| % Construct a reparameterized multi-variate normal distribution structure % % *Syntax* % % D = mvn2icholfactory(datadim) % % *Description* % % |D = mvn2icholfactory(datadim)| returns a structure representing a % |datadim|-dimensional normal distribution with a special % reparameterization. % % *...
github
utvisionlab/mixest-master
mvnfactory.m
.m
mixest-master/mixest/distributions/mvn/mvnfactory.m
20,304
utf_8
532bc0bfbbb230b9258b351e28d7fa99
%% |mvnfactory| % Construct a multi-variate normal distribution structure % % *Syntax* % % D = mvnfactory(datadim) % % *Description* % % |D = mvnfactory(datadim)| returns a structure representing a % |datadim|-dimensional normal distribution. % % *Distribution Parameters* % % * *|mu|* (|datadim-by-1| vector) : The me...
github
utvisionlab/mixest-master
mvn_selfmerge.m
.m
mixest-master/mixest/distributions/mvn/mvn_selfmerge.m
2,052
utf_8
dcdbfc1175b6e4eb9ed2cb753ee40f9a
%% |mvn_selfmerge| % *Note:* This is a private function. % % Calculate the initial parameter values for a merged distribution to be % substituted for two distributions. Each parameter should be requested by % a separate call with an optional specific method. % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al %...
github
utvisionlab/mixest-master
cmvnfactory.m
.m
mixest-master/mixest/distributions/mvn/cmvnfactory.m
18,717
utf_8
ea32c22f5bcfe836fd2e82f91822b0db
%% |cmvnfactory| % Construct a conditional multi-variate normal distribution structure % % *Syntax* % % D = cmvnfactory(datadim, conddim) % % *Description* % % |D = cmvnfactory(datadim, conddim)| returns a structure representing a % conditional normal distribution. |datadim| is the data dimensions and % |conddim| is ...
github
utvisionlab/mixest-master
mvn2factorytmp.m
.m
mixest-master/mixest/distributions/mvn/mvn2factorytmp.m
20,702
utf_8
9a215357ad6008fd1533241a3d786125
%% |mvn2factory| % % Difference between this and mvn2factory is the manifold of spd % % Construct a reparameterized multi-variate normal distribution structure % % *Syntax* % % D = mvn2factory(datadim) % % *Description* % % |D = mvn2factory(datadim)| returns a structure representing a % |datadim|-dimensional normal ...
github
utvisionlab/mixest-master
mvn2factorytmp2.m
.m
mixest-master/mixest/distributions/mvn/mvn2factorytmp2.m
20,705
utf_8
5b872c0644de4654a847b70e4eb24a53
%% |mvn2factory| % % Difference between this and mvn2factory is the manifold of spd % % Construct a reparameterized multi-variate normal distribution structure % % *Syntax* % % D = mvn2factory(datadim) % % *Description* % % |D = mvn2factory(datadim)| returns a structure representing a % |datadim|-dimensional normal ...
github
utvisionlab/mixest-master
mvn_visualize.m
.m
mixest-master/mixest/distributions/mvn/mvn_visualize.m
3,977
utf_8
d350f5a34d17614f923622a9104e97c0
%% |mvn_visualize| % *Note:* This is a private function. % % Multi-variate-normal distribution visualization % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % function handl...
github
utvisionlab/mixest-master
mvnicholfactory.m
.m
mixest-master/mixest/distributions/mvn/mvnicholfactory.m
15,543
utf_8
73c8bca41fbc170a1da9a4c480e608c5
%% |mvnicholfactory| % Construct a multi-variate normal distribution structure % % *Syntax* % % D = mvnicholfactory(datadim) % % *Description* % % |D = mvnicholfactory(datadim)| returns a structure representing a % |datadim|-dimensional normal distribution. % % *Distribution Parameters* % % * *|mu|* (|datadim-by-1| v...
github
utvisionlab/mixest-master
mvn2_estimatedefault.m
.m
mixest-master/mixest/distributions/mvn/mvn2_estimatedefault.m
927
utf_8
9b84c2ff10d4a511d206ce5826ceaf6d
%% |mvn2_estimatedefault| % *Note:* This is a private function. % % Default estimation function for the multi-variate normal distribution % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % C...
github
utvisionlab/mixest-master
mvn2factory.m
.m
mixest-master/mixest/distributions/mvn/mvn2factory.m
20,628
utf_8
6668e2df72766d37882fa76f22548bca
%% |mvn2factory| % Construct a reparameterized multi-variate normal distribution structure % % *Syntax* % % D = mvn2factory(datadim) % % *Description* % % |D = mvn2factory(datadim)| returns a structure representing a % |datadim|-dimensional normal distribution with a special % reparameterization. % % *Distribution Pa...
github
utvisionlab/mixest-master
ecd_estimatedefault.m
.m
mixest-master/mixest/distributions/ecd/ecd_estimatedefault.m
8,229
utf_8
9a925a7b2ea0fbfef3ae2942a4881c25
%% |ecd_estimatedefault| % *Note:* This is a private function. % % Default estimation function for ecd distribution. Implements alternative % coordinate descent (between Radial and Sigma). % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributo...
github
utvisionlab/mixest-master
ecdfactory.m
.m
mixest-master/mixest/distributions/ecd/ecdfactory.m
22,652
utf_8
85ef544b3de26afbe721f18965651a35
%% |ecdfactory| % Construct a zero-mean elliptically contoured distribution structure % % *Syntax* % % D = ecdfactory(datadim, radialD) % % *Description* % % |D = ecdfactory(datadim, radialD)| returns a structure representing a % |datadim|-dimensional ecd distribution with square radial pdf |radialD|. % % *Distributi...
github
utvisionlab/mixest-master
ecd_eg_estimatedefault.m
.m
mixest-master/mixest/distributions/ecd/ecd_eg_estimatedefault.m
3,826
utf_8
3a7631ff36e1fdc1fb9aca27b14dd8b8
%% |ecd_eg_estimatedefault| % *Note:* This is a private function. % % Default estimation function for eg distribution % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % funct...
github
utvisionlab/mixest-master
vmf_estimatedefault.m
.m
mixest-master/mixest/distributions/vmf/vmf_estimatedefault.m
766
utf_8
198d14e6c60a451f4e0903ef24a29b11
%% |vmf_estimatedefault| % *Note:* This is a private function. % % Default estimation function for the von Mises-Fisher distribution % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change...
github
utvisionlab/mixest-master
vmffactory.m
.m
mixest-master/mixest/distributions/vmf/vmffactory.m
15,401
utf_8
9f49c5365f5660c15f2bd33275e297d3
%% |vmffactory| % Construct a von Mises-Fisher distribution structure % % *Syntax* % % D = vmffactory(datadim) % % *Description* % % |D = vmffactory(datadim)| returns a structure representing a % |datadim|-dimensional VMF distribution on the unit sphere. % % *Distribution Parameters* % % * *|mu|* (|datadim-by-1| vect...
github
utvisionlab/mixest-master
vmf_visualize.m
.m
mixest-master/mixest/distributions/vmf/vmf_visualize.m
1,480
utf_8
6ea989fd4653b6b49dd3f8015da17991
%% |mvn_visualize| % *Note:* This is a private function. % % von Mises-Fisher distribution visualization % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % Change log: % function handle_ar...
github
utvisionlab/mixest-master
mnlfactory.m
.m
mixest-master/mixest/distributions/mnl/mnlfactory.m
8,997
utf_8
96a628090702275dd6e994e36ebffb89
%% |mnlfactory| % Construct a multinomial logistic distribution (MaxEnt classifier) % % *Syntax* % % D = mnlfactory(datadim, num) % D = mnlfactory(datadim) % % *Description* % % |D = mnlfactory(datadim, num)| returns a structure representing a % multi-nomial logit distribution. |datadim| is the dimension of input ...
github
utvisionlab/mixest-master
softmaxfactory.m
.m
mixest-master/mixest/gates/softmaxfactory.m
9,735
utf_8
7dd5944b2eb79b0d7899f616c7b505ff
%% |softmaxfactory| % Construct a softmax gate distribution structure % % *Syntax* % % D = softmaxfactory(num, datadim) % D = softmaxfactory(num) % % *Description* % % |D = softmaxfactory(num, datadim)| returns a structure representing a % softmax gate distribution. |num| is the number of factors. |datadim| is % th...
github
utvisionlab/mixest-master
softmax_estimateMstep.m
.m
mixest-master/mixest/gates/softmax_estimateMstep.m
3,036
utf_8
0ee4bf3b9a464a3aebd5291f87cd26ad
%% |softmax_estimateMstep| % *Note:* This is a private function. % % Default estimation function for the mixtures of experts. Implements the % M-step in Expectation Maximization (EM) algorithm. % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contr...
github
utvisionlab/mixest-master
mxe_stoppingcriterion.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_stoppingcriterion.m
3,961
utf_8
c3c223f7aa5ec911465db62123465226
%% |mxe_stoppingcriterion| % *Note:* This is a private function. % % Check stopping criteria declared in options % % *Syntax* % % stop = mxe_stoppingcriterion(D, theta, options, info, last) % stop = mxe_stoppingcriterion(D, theta, options, info, last, first) % stop = mxe_stoppingcriterion(D, theta, options, info,...
github
utvisionlab/mixest-master
mxe_plot.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_plot.m
3,240
utf_8
1d213d63a4c69bfc8ef52a98ebf414d2
%% |mxe_plot| % *Note:* This is a private function. % % Returns a structure used for plotting costs, etc over iterations % % *Syntax* % % mp = mxe_plot(labels) % mp = mxe_plot(labels, plot_options) % mp = mxe_plot(labels, plot_options, reset_axes) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This...
github
utvisionlab/mixest-master
mxe_getplotdata.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_getplotdata.m
2,400
utf_8
c09f1eeb8c8d8bd33e32b57edbb07521
%% |mxe_getplotdata| % *Note:* This is a private function. % % Extract plot data from info % % *Syntax* % % [ploty, plotx] = mxe_getplotdata(fieldname, plot_options, info, last) % [ploty, plotx] = mxe_getplotdata(fieldname, plot_options, info, last, previter, allinfo, allinfolast) % % Copyright 2015 Reshad Hossein...
github
utvisionlab/mixest-master
mxe_ecostgrad.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_ecostgrad.m
3,648
utf_8
c26dc5a7e8c4b0676999074dd6d37130
%% |mxe_ecostgrad| % *Note:* This is a private function. % % Returns the cost (negative log-likelihood) and its Euclidean gradient % with respect to distribution parameters calculated on data, considering % penalization, etc. Used in gradient-based estimation functions. % % *Syntax* % % [cost, grad] = mxe_ecostgrad(D...
github
utvisionlab/mixest-master
mxe_plotavg.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_plotavg.m
903
utf_8
9fffb8e9e1e5ec469bf20f680b1c76ed
%% |mxe_plotavg| % *Note:* This is a private function. % % Function used in averaged plotting % % *Syntax* % % [plotx, ploty] = mxe_plotavg(plotx, ploty, avgiter) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini %...
github
utvisionlab/mixest-master
mxe_gradbatch.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_gradbatch.m
1,615
utf_8
c15003822456cef22020987c82e011fd
%% |mxe_costgrad| % *Note:* This is a private function. % % Returns the Riemannian gradient of cost (negative log-likelihood) % with respect to distribution parameters calculated on data, considering % penalization, etc. Used in gradient-based estimation functions. % % Since it is for SGD no databatchsize is necessary...
github
utvisionlab/mixest-master
mxe_crossvalidation.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_crossvalidation.m
2,466
utf_8
f67c6f1ae633956dadefcfd94ceea97f
%% |mxe_crossvalidation| % *Note:* This is a private function. % % Construct a structure used for cross-validation % % *Syntax* % % [cv, idxTrain] = mxe_crossvalidation(data, cvfraction, cvtoliter, costfun) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/m...
github
utvisionlab/mixest-master
mxe_minibatch.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_minibatch.m
1,543
utf_8
5af10db1123eaf41d7537f1532030591
%% |mxe_minibatch| % *Note:* This is a private function. % % Returns a structure used for mini batch optimization % % *Syntax* % % [mb, idxMBTrain] = mxe_minibatch(idxAllTrain, options) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributor...
github
utvisionlab/mixest-master
mxe_egradbatch.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_egradbatch.m
1,570
utf_8
104f2c15a8c730469532748a0065ee5e
%% |mxe_costgrad| % *Note:* This is a private function. % % Returns the Riemannian gradient of cost (negative log-likelihood) % with respect to distribution parameters calculated on data, considering % penalization, etc. Used in gradient-based estimation functions. % % Since it is for SGD no databatchsize is necessary...
github
utvisionlab/mixest-master
mxe_adjustoptions.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_adjustoptions.m
875
utf_8
e7897057fc35b464e590c1df7f107635
%% |mxe_adjustoptions| % *Note:* This is a private function. % % Makes the required adjustments to |options| fields like |maxiter| when % using |options.previnfo| to continue from a previous estimation. % % *Syntax* % % options = mxe_adjustoptions(options, stats) % % Copyright 2015 Reshad Hosseini and Mohamadreza Ma...
github
utvisionlab/mixest-master
mxe_options.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_options.m
11,138
utf_8
c682d35bc384e27fa2b60da6d9b4da1f
%% |mxe_options| % *Note:* This is a private function. % % Generate default estimation options, Add given extra default options, and % then set any given options. % % *Syntax* % % options = mxe_options() % options = mxe_options(options) % options = mxe_options(options, extra_defaults) % % Copyright 2015 Reshad H...
github
utvisionlab/mixest-master
mxe_costgrad.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_costgrad.m
3,772
utf_8
fcf7840cc91ef38382cbcb18cd5795a9
%% |mxe_costgrad| % *Note:* This is a private function. % % Returns the cost (negative log-likelihood) and its Riemannian gradient % with respect to distribution parameters calculated on data, considering % penalization, etc. Used in gradient-based estimation functions. % % *Syntax* % % [cost, grad] = mxe_costgrad(D,...
github
utvisionlab/mixest-master
mxe_getsolverhandle.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_getsolverhandle.m
939
utf_8
bc46772860cf124cb1655fcc476fc903
%% |mxe_getsolverhandle| % *Note:* This is a private function. % % Returns function handle to a manopt solver given its name % % *Syntax* % % h = mxe_getsolverhandle(solverName) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Re...
github
utvisionlab/mixest-master
mxe_visualization.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_visualization.m
2,807
utf_8
d58e5426b82b24adae6b13171d2ff2ae
%% |mxe_visualization| % *Note:* This is a private function. % % Returns a structure used for visualizing the estimation process % % *Syntax* % % vis = mxe_visualization(data, vis_options) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contribu...
github
utvisionlab/mixest-master
mxe_inneroptions.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_inneroptions.m
1,857
utf_8
2181ba2d2f281151ee4bca502ab0e1f5
%% |mxe_inneroptions| % *Note:* This is a private function. % % Read options for inner estimations % % *Syntax* % % inner_options = mxe_inneroptions(options, inner_defaults, subfield) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors:...
github
utvisionlab/mixest-master
mxe_mergeinfo.m
.m
mixest-master/mixest/auxiliary/estimation/mxe_mergeinfo.m
2,253
utf_8
a5e86c350a75871da49e13527b9078cc
%% |mxe_mergeinfo| % *Note:* This is a private function. % % Merge info structure arrays, considering memory pre-allocation % % *Syntax* % % [info, last] = mxe_mergeinfo(info, last, newinfo) % [info, last] = mxe_mergeinfo(info, last, newinfo, maxiter) % [info, last] = mxe_mergeinfo(info, last, newinfo, maxiter, f...
github
utvisionlab/mixest-master
mxe_publishdocs.m
.m
mixest-master/mixest/auxiliary/private_tools/mxe_publishdocs.m
8,777
utf_8
32443b1c5bbbe2dc205308ef03008cb7
%% mxe_publishdocs % *Note:* This is a private function. % % Publish all documentation files into Jekyll source directory % % *Syntax* % % mxe_publishdocs % mxe_publishdocs online % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: %...
github
utvisionlab/mixest-master
mxe_scaleparam.m
.m
mixest-master/mixest/auxiliary/private_tools/mxe_scaleparam.m
811
utf_8
ee485b537bceca7a94a55ae39865a7e0
%% |mxe_scaleparam| % *Note:* This is a private function. % % Scaling the parameters % % *Syntax* % % param = mxe_scaleparams(scale, param1) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al ...
github
utvisionlab/mixest-master
mxe_readweight.m
.m
mixest-master/mixest/auxiliary/private_tools/mxe_readweight.m
540
utf_8
b8282fa7a64a04546c66758bf079afab
%% |mxe_readweight| % *Note:* This is a private function. % % Read only the data weights from the given data argument % % *Syntax* % % weight = mxe_readweight(data) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini...
github
utvisionlab/mixest-master
mxe_sumparam.m
.m
mixest-master/mixest/auxiliary/private_tools/mxe_sumparam.m
821
utf_8
69469a1ad5c8a1cd82b8f83de182de46
%% |mxe_sumparam| % *Note:* This is a private function. % % Adding two parameters % % *Syntax* % % param = mxe_addparams(param1, param2) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % Contributors: % Reshad Hosseini % Mohamadreza Mash'al % % ...
github
utvisionlab/mixest-master
mxe_htmltable.m
.m
mixest-master/mixest/auxiliary/private_tools/mxe_htmltable.m
1,637
utf_8
b3a0244b143cdf74550f70c2c78b4e0b
%% |mxe_htmltable| % *Note:* This is a private function. % % Generates HTML code for a table corresponding to the given structure % array. (used in documentation) % % *Syntax* % % html = mxe_htmltable(S) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixe...
github
utvisionlab/mixest-master
mxe_readdata.m
.m
mixest-master/mixest/auxiliary/private_tools/mxe_readdata.m
4,745
utf_8
a2f4f8b49647fd9ee6017b364ce834e8
%% |mxe_readdata| % *Note:* This is a private function. % % Read data points, data weights, indices of data to be worked on, and data % tag, from the given data argument. (Used in functions that have a data % input argument) % % *Syntax* % % data_struct = mxe_readdata(data) % data_struct = mxe_readdata(data, false)...
github
utvisionlab/mixest-master
mxe_setfields.m
.m
mixest-master/mixest/auxiliary/private_tools/mxe_setfields.m
1,646
utf_8
3dfef5701f3a9096639673a01c40c36d
%% |mxe_setfields| % *Note:* This is a private function. % % Sets options structure recursively, converting the names to lower case % % *Syntax* % % options = mxe_setfields(options, given_options) % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is part of MixEst: visionlab.ut.ac.ir/mixest % % ...
github
utvisionlab/mixest-master
productsimplexfactory.m
.m
mixest-master/mixest/auxiliary/manopt_manifolds/simplex/productsimplexfactory.m
2,659
utf_8
51cf6500cdb245d058b54f7b888ad049
%% |productsimplexfactory| % Returns a manifold struct to optimize over simplex with given dimension % % *Syntax* % % M = productsimplexfactory(n) % % *Description* % % |M = simplexfactory(n, m)| returns |M|, a structure describing cartesian % product of |m| simplex manifolds of dimension |n|. % % Copyright 2015 Res...
github
utvisionlab/mixest-master
simplexKfactory.m
.m
mixest-master/mixest/auxiliary/manopt_manifolds/simplex/simplexKfactory.m
2,404
utf_8
aae1db58e066fa060b058968c226b9a0
%% |simplexfactory| % Returns a manifold struct to optimize over simplex with given dimension % and sum % % *Syntax* % % M = simplexKfactory(n, K) % % *Description* % % |M = simplexKfactory(n, K)| returns |M|, a structure describing the % simplex manifold of dimension |n|, where the sum of the elements of the % point...
github
utvisionlab/mixest-master
simplexfactory.m
.m
mixest-master/mixest/auxiliary/manopt_manifolds/simplex/simplexfactory.m
2,723
utf_8
550dc12635cc884395b2eab1444fca08
%% |simplexfactory| % Returns a manifold struct to optimize over simplex with given dimension % % *Syntax* % % M = simplexfactory(n) % % *Description* % % |M = simplexfactory(n)| returns |M|, a structure describing the simplex % manifold of dimension |n|. % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % ...
github
utvisionlab/mixest-master
spdfactory.m
.m
mixest-master/mixest/auxiliary/manopt_manifolds/positivedefinite/spdfactory.m
6,097
utf_8
8a13780a0a37d4520b7d8aa580d296c5
%% |spdfactory| % Returns a manifold structure to optimize over symmetric positive definite % matrices % % *Syntax* % % M = spdfactory(n) % % *Description* % % |M = spdfactory(n)| returns |M|, a structure describing the Riemmanian % manifold of symmetric |n-by-n| positive definite matrices. % % Copyright 2015 Reshad...
github
utvisionlab/mixest-master
spdfactorytmp.m
.m
mixest-master/mixest/auxiliary/manopt_manifolds/positivedefinite/spdfactorytmp.m
6,098
utf_8
ba30423d4d167377a9942685d8f85862
%% |spdfactory| % Returns a manifold structure to optimize over symmetric positive definite % matrices % % *Syntax* % % M = spdfactory(n) % % *Description* % % |M = spdfactory(n)| returns |M|, a structure describing the Riemmanian % manifold of symmetric |n-by-n| positive definite matrices. % % Copyright 2015 Reshad...
github
utvisionlab/mixest-master
hpdfactory.m
.m
mixest-master/mixest/auxiliary/manopt_manifolds/positivedefinite/hpdfactory.m
5,608
utf_8
01e41959bfae808aad71833728c93aed
%% |hpdfactory| % Returns a manifold structure to optimize over Hermitian positive definite % matrices % % *Syntax* % % M = hpdfactory(n) % % *Description* % % |M = hpdfactory(n)| returns |M|, a structure describing the Riemmanian % manifold of Hermitian |n-by-n| positive definite matrices. % % Copyright 2015 Reshad...
github
utvisionlab/mixest-master
positive2factory.m
.m
mixest-master/mixest/auxiliary/manopt_manifolds/positivedefinite/positive2factory.m
2,227
utf_8
4481b082308e7400444dc2513a94091e
%% |positivefactory| % Returns a manifold struct to optimize over manifold of positive numbers % % *Syntax* % % M = positivefactory(n) % % *Description* % % |M = positivefactory(n)| returns |M|, a structure describing the positive % manifold. % % Copyright 2015 Reshad Hosseini and Mohamadreza Mash'al % This file is ...