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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 |
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github | Hamza5/Plateforme-outils-SII-master | mfa_cl.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/examples/static/Zoubin/mfa_cl.m | 1,166 | utf_8 | f8d9545f2ac20101b94c71197ed8e85d | % function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi);
%
% Calculates log likelihoods of a data set under a mixture of factor
% analysis model.
%
% X - data matrix
% Lh - factor loadings
% Ph - diagonal uniquenesses matrix
% Mu - mean vectors
% Pi - priors
%
% lik - log likelihood of X
% likv - vector of log likelihoods
%
%... |
github | Hamza5/Plateforme-outils-SII-master | rdiv.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/examples/static/Zoubin/rdiv.m | 313 | utf_8 | a88548ef56eaf2eb59848137efc488ea | % function Z=rdiv(X,Y)
%
% row division: Z = X / Y row-wise
% Y must have one column
function Z=rdiv(X,Y)
[N M]=size(X);
[K L]=size(Y);
if(N ~= K | L ~=1)
disp('Error in RDIV');
return;
end
Z=zeros(N,M);
if M<N,
for m=1:M
Z(:,m)=X(:,m)./Y;
end
else
for n=1:N
Z(n,:)=X(n,:)/Y(n);
end;
end; |
github | Hamza5/Plateforme-outils-SII-master | rsum.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/examples/static/Zoubin/rsum.m | 199 | utf_8 | c79535bcd7afd1e86ae8fc5a930afae0 | % row sum
% function Z=rsum(X)
function Z=rsum(X)
[N M]=size(X);
Z=zeros(N,1);
if M==1,
Z=X;
elseif M<2*N,
for m=1:M,
Z=Z+X(:,m);
end;
else
for n=1:N
Z(n)=sum(X(n,:));
end;
end
|
github | Hamza5/Plateforme-outils-SII-master | ffa.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/examples/static/Zoubin/ffa.m | 1,368 | utf_8 | b2f6d60cfe9f7844f46ad49386633e2b | % function [L,Ph,LL]=ffa(X,K,cyc,tol);
%
% Fast Maximum Likelihood Factor Analysis using EM
%
% X - data matrix
% K - number of factors
% cyc - maximum number of cycles of EM (default 100)
% tol - termination tolerance (prop change in likelihood) (default 0.0001)
%
% L - factor loadings
% Ph - diagonal uniquenesses m... |
github | Hamza5/Plateforme-outils-SII-master | scg_unstable.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/examples/static/SCG/scg_unstable.m | 2,145 | utf_8 | 067006de982c649620605a483333a045 | function scg_unstable()
% the objective of this script is to test if the stable conditonal gaussian
% inference can handle the numerical instability problem described on
% page.151 of 'Probabilistic networks and expert system' by Cowell, Dawid, Lauritzen and
% Spiegelhalter, 1999.
A = 1; Y = 2;
n = 2;
ns = ones(1, n... |
github | Hamza5/Plateforme-outils-SII-master | transform_data_into_bnt_format.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/examples/static/dtree/transform_data_into_bnt_format.m | 1,752 | utf_8 | fe71753bf7e1a3be7ac13c32aa88dd48 | function [bnt_data, old_values] = transform_data_into_bnt_format(data,cnodes)
% TRANSFORM_DATA_TO_BNT_FORMAT Ensures discrete variables have values 1,2,..,k
% e.g., if the values of a discrete are [0 1 6], they must be mapped to [1 2 3]
%
% data(i,j) is the value for i-th node in j-th case.
% bnt_data(i,j) is the new v... |
github | Hamza5/Plateforme-outils-SII-master | fhme.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/examples/static/HME/fhme.m | 3,716 | utf_8 | 2904f73aabc3586d20a3c118e6db0205 | function risultati = fhme(net, nodes_info, data, n)
%HMEFWD Forward propagation through an HME model
%
% Each row of the (n x class_num) matrix 'risultati' containes the estimated class posterior prob.
%
% ----------------------------------------------------------------------------------------------------
% -> pierpaol... |
github | Hamza5/Plateforme-outils-SII-master | marginalize_pot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/potentials/@mpot/marginalize_pot.m | 1,076 | utf_8 | dff1ed58d10d3ffa93b69c8d7befc696 | function smallpot = marginalize_pot(bigpot, keep, maximize, useC)
% MARGINALIZE_POT Marginalize a mpot onto a smaller domain.
% smallpot = marginalize_pot(bigpot, keep, maximize, useC)
%
% The maximize argument is ignored - maxing out a Gaussian is the same as summing it out,
% since the mode and mean are equal.
% The ... |
github | Hamza5/Plateforme-outils-SII-master | mpot_to_cpot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/potentials/@mpot/mpot_to_cpot.m | 599 | utf_8 | ad90567af25a64158159d7eae8be31ed | function can = mpot_to_cpot(mom)
% MPOT_TO_CPOT Convert a moment potential to canonical form.
% mom = mpot_to_cpot(can)
[g, h, K] = moment_to_canonical(mom.logp, mom.mu, mom.Sigma);
can = cpot(mom.domain, mom.sizes, g, h, K);
%%%%%%%%%%%
function [g, h, K] = moment_to_canonical(logp, mu, Sigma)
% MOMENT_TO_CANONICAL... |
github | Hamza5/Plateforme-outils-SII-master | cpot_to_mpot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/potentials/@cpot/cpot_to_mpot.m | 828 | utf_8 | 26862bd93acb82b77014800dbc864c25 | function mom = cpot_to_mpot(can)
% CPOT_TO_MPOT Convert a canonical potential to moment form.
% mom = cpot_to_mpot(can)
[logp, mu, Sigma] = canonical_to_moment(can.g, can.h, can.K);
mom = mpot(can.domain, can.sizes, logp, mu, Sigma);
%%%%%%%
function [logp, mu, Sigma] = canonical_to_moment(g, h, K)
% CANONICAL_TO_MO... |
github | Hamza5/Plateforme-outils-SII-master | cpot_to_mpot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/potentials/@cpot/Old/cpot_to_mpot.m | 647 | utf_8 | a773e7395fa7f26edbcfdcf3c08577ce | function mom = cpot_to_mpot(can)
% CPOT_TO_MPOT Convert a canonical potential to moment form.
% mom = cpot_to_mpot(can)
[logp, mu, Sigma] = canonical_to_moment(can.g, can.h, can.K);
mom = mpot(can.domain, can.sizes, logp, mu, Sigma);
%%%%%%%
function [logp, mu, Sigma] = canonical_to_moment(g, h, K)
% CANONICAL_TO_MO... |
github | Hamza5/Plateforme-outils-SII-master | convert_dbn_CPDs_to_tables.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/general/convert_dbn_CPDs_to_tables.m | 6,015 | utf_8 | 6aee53e35cb0703d7289fd7d2805ae57 | function CPDpot = convert_dbn_CPDs_to_tables(bnet, evidence)
% CONVERT_DBN_CPDS_TO_TABLES Convert CPDs of (possibly instantiated) DBN nodes to tables
% CPDpot = convert_dbn_CPDs_to_tables(bnet, evidence)
%
% CPDpot{n,t} is a table containing P(n,t|pa(n,t), ev)
% All hidden nodes are assumed to be discrete.
% We assume ... |
github | Hamza5/Plateforme-outils-SII-master | convert_dbn_CPDs_to_tables1.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/general/convert_dbn_CPDs_to_tables1.m | 5,487 | utf_8 | 5ac1d4175d34043cc7a3ecf811892498 | function CPDpot = convert_dbn_CPDs_to_tables1(bnet, evidence)
% CONVERT_DBN_CPDS_TO_TABLES Convert CPDs of (possibly instantiated) DBN nodes to tables
% CPDpot = convert_dbn_CPDs_to_tables(bnet, evidence)
%
% CPDpot{n,t} is a table containing P(n,t|pa(n,t), ev)
% All hidden nodes are assumed to be discrete
% We assume ... |
github | Hamza5/Plateforme-outils-SII-master | calc_mpe_bucket.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/BNT/general/Old/calc_mpe_bucket.m | 4,198 | utf_8 | 77ff3fb31686738c6d6b30a04cf847fc | function [mpe, ll] = calc_mpe_bucket(bnet, new_evidence, max_over)
%
% PURPOSE:
% CALC_MPE Computes the most probable explanation to the network nodes
% given the evidence.
%
% [mpe, ll] = calc_mpe(engine, new_evidence, max_over)
%
% INPUT:
% bnet - the bayesian network
% new_evide... |
github | Hamza5/Plateforme-outils-SII-master | dag_to_essential_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/graph/dag_to_essential_graph.m | 3,193 | utf_8 | 677d6a6653f2b6c757b8559c9db0bb65 |
function [eg] = dag_to_essential_graph(dag)
cpdag = dag_to_cpdag(dag);
eg = dag + dag .* (cpdag + cpdag');
return;
% Coverts a DAG into Essential Graph where edges are coded by 2 and 3, 2 is
% directed edge and 3 is bidirected edge and is at one (the same as the original DAG) of the two
% symetrical places.
% I... |
github | Hamza5/Plateforme-outils-SII-master | dfs.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/graph/dfs.m | 2,284 | utf_8 | 6f66bf52242732c48b1cd818b9d032f9 | function [d, pre, post, cycle, f, pred] = dfs(adj_mat, start, directed)
% DFS Perform a depth-first search of the graph starting from 'start'.
% [d, pre, post, cycle, f, pred] = dfs(adj_mat, start, directed)
%
% Input:
% adj_mat(i,j)=1 iff i is connected to j.
% start is the root vertex of the dfs tree; if [], all node... |
github | Hamza5/Plateforme-outils-SII-master | min_subtree_con_nodes.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/graph/min_subtree_con_nodes.m | 1,393 | utf_8 | 4e0ded4c329d2d628dcac1223dadf428 | function [subtree, nroot_node] = min_subtree_con_nodes(jtree, root, nodes)
%min_subtree_con_nodes get the minimum subtree of tree which contains the nodes
if isempty(jtree) | isempty(nodes)
subtree = [];
nroot_node = [];
return;
end
rnodes = min_subtree_nodes(jtree, nodes);
nea_node = nearest_node(jtree, ... |
github | Hamza5/Plateforme-outils-SII-master | dfs.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/graph/Old/dfs.m | 2,742 | utf_8 | e416616d9aeba9dda8761af00ebe510a | function [d, pre, post, height, cycle, pred] = dfs(adj_mat, start, directed)
% DFS Perform a depth-first search of the graph starting from 'start'.
% [d, pre, post, height, cycle, pred] = dfs(adj_mat, start, directed)
%
% d(i) is the time at which node i is first discovered.
% pre is a listing of the nodes in the order... |
github | Hamza5/Plateforme-outils-SII-master | dhmm_em.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/HMM/dhmm_em.m | 4,081 | utf_8 | e23671f3809776edff04b1c4ec457169 | function [LL, prior, transmat, obsmat, nrIterations] = ...
dhmm_em(data, prior, transmat, obsmat, varargin)
% LEARN_DHMM Find the ML/MAP parameters of an HMM with discrete outputs using EM.
% [ll_trace, prior, transmat, obsmat, iterNr] = learn_dhmm(data, prior0, transmat0, obsmat0, ...)
%
% Notation: Q(t) = hidden s... |
github | Hamza5/Plateforme-outils-SII-master | mhmm_em.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/HMM/mhmm_em.m | 5,562 | utf_8 | 5a337291416185ebcf567e46e08a3d09 | function [LL, prior, transmat, mu, Sigma, mixmat] = ...
mhmm_em(data, prior, transmat, mu, Sigma, mixmat, varargin);
% LEARN_MHMM Compute the ML parameters of an HMM with (mixtures of) Gaussians output using EM.
% [ll_trace, prior, transmat, mu, sigma, mixmat] = learn_mhmm(data, ...
% prior0, transmat0, mu0, sig... |
github | Hamza5/Plateforme-outils-SII-master | cond_indep_fisher_z.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMstats/cond_indep_fisher_z.m | 3,655 | utf_8 | 91a631e2222244ede4df8e595f16adee | function [CI, r, p] = cond_indep_fisher_z(X, Y, S, C, N, alpha)
% COND_INDEP_FISHER_Z Test if X indep Y given Z using Fisher's Z test
% CI = cond_indep_fisher_z(X, Y, S, C, N, alpha)
%
% C is the covariance (or correlation) matrix
% N is the sample size
% alpha is the significance level (default: 0.05)
%
% See p133 of ... |
github | Hamza5/Plateforme-outils-SII-master | logistK.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMstats/logistK.m | 7,253 | utf_8 | 9539c8105ebca14d632373f5f9f4b70d | function [beta,post,lli] = logistK(x,y,w,beta)
% [beta,post,lli] = logistK(x,y,beta,w)
%
% k-class logistic regression with optional sample weights
%
% k = number of classes
% n = number of samples
% d = dimensionality of samples
%
% INPUT
% x dxn matrix of n input column vectors
% y kxn vector of class assignment... |
github | Hamza5/Plateforme-outils-SII-master | multipdf.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMstats/multipdf.m | 1,192 | utf_8 | 1fce56db4c9a59d35960bd25df11b1f9 | function p = multipdf(x,theta)
%MULTIPDF Multinomial probability density function.
% p = multipdf(x,theta) returns the probabilities of
% vector x, under the multinomial distribution
% with parameter vector theta.
%
% Author: David Ross
%--------------------------------------------------------
% Check the arg... |
github | Hamza5/Plateforme-outils-SII-master | metrop.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlab3.3/metrop.m | 5,284 | utf_8 | df084b9ad36314e304a99b9b1f3c955e | function [samples, energies, diagn] = metrop(f, x, options, gradf, varargin)
%METROP Markov Chain Monte Carlo sampling with Metropolis algorithm.
%
% Description
% SAMPLES = METROP(F, X, OPTIONS) uses the Metropolis algorithm to
% sample from the distribution P ~ EXP(-F), where F is the first
% argument to METROP. T... |
github | Hamza5/Plateforme-outils-SII-master | hmc.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlab3.3/hmc.m | 7,683 | utf_8 | 64c15e958297afe69787b8617dc1a56a | function [samples, energies, diagn] = hmc(f, x, options, gradf, varargin)
%HMC Hybrid Monte Carlo sampling.
%
% Description
% SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo
% algorithm to sample from the distribution P ~ EXP(-F), where F is the
% first argument to HMC. The Markov chain starts at the poi... |
github | Hamza5/Plateforme-outils-SII-master | gtminit.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlab3.3/gtminit.m | 5,204 | utf_8 | ab76f6114a7e85375ade5e5889d5f6a7 | function net = gtminit(net, options, data, samp_type, varargin)
%GTMINIT Initialise the weights and latent sample in a GTM.
%
% Description
% NET = GTMINIT(NET, OPTIONS, DATA, SAMPTYPE) takes a GTM NET and
% generates a sample of latent data points and sets the centres (and
% widths if appropriate) of NET.RBFNET.
%
% I... |
github | Hamza5/Plateforme-outils-SII-master | mlphess.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlab3.3/mlphess.m | 1,633 | utf_8 | b91a15ca11b4886de6c1671c33a735d3 | function [h, hdata] = mlphess(net, x, t, hdata)
%MLPHESS Evaluate the Hessian matrix for a multi-layer perceptron network.
%
% Description
% H = MLPHESS(NET, X, T) takes an MLP network data structure NET, a
% matrix X of input values, and a matrix T of target values and returns
% the full Hessian matrix H corresponding... |
github | Hamza5/Plateforme-outils-SII-master | glmhess.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlab3.3/glmhess.m | 4,024 | utf_8 | 2d706b82d25cb35ff9467fe8837ef26f | function [h, hdata] = glmhess(net, x, t, hdata)
%GLMHESS Evaluate the Hessian matrix for a generalised linear model.
%
% Description
% H = GLMHESS(NET, X, T) takes a GLM network data structure NET, a
% matrix X of input values, and a matrix T of target values and returns
% the full Hessian matrix H corresponding to t... |
github | Hamza5/Plateforme-outils-SII-master | rbfhess.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlab3.3/rbfhess.m | 3,138 | utf_8 | 0a6ef29c8be32e9991cacfe42bdfa0b3 | function [h, hdata] = rbfhess(net, x, t, hdata)
%RBFHESS Evaluate the Hessian matrix for RBF network.
%
% Description
% H = RBFHESS(NET, X, T) takes an RBF network data structure NET, a
% matrix X of input values, and a matrix T of target values and returns
% the full Hessian matrix H corresponding to the second deriva... |
github | Hamza5/Plateforme-outils-SII-master | dag_to_essential_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/graph/dag_to_essential_graph.m | 3,193 | utf_8 | 677d6a6653f2b6c757b8559c9db0bb65 |
function [eg] = dag_to_essential_graph(dag)
cpdag = dag_to_cpdag(dag);
eg = dag + dag .* (cpdag + cpdag');
return;
% Coverts a DAG into Essential Graph where edges are coded by 2 and 3, 2 is
% directed edge and 3 is bidirected edge and is at one (the same as the original DAG) of the two
% symetrical places.
% I... |
github | Hamza5/Plateforme-outils-SII-master | dfs.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/graph/dfs.m | 2,284 | utf_8 | 6f66bf52242732c48b1cd818b9d032f9 | function [d, pre, post, cycle, f, pred] = dfs(adj_mat, start, directed)
% DFS Perform a depth-first search of the graph starting from 'start'.
% [d, pre, post, cycle, f, pred] = dfs(adj_mat, start, directed)
%
% Input:
% adj_mat(i,j)=1 iff i is connected to j.
% start is the root vertex of the dfs tree; if [], all node... |
github | Hamza5/Plateforme-outils-SII-master | min_subtree_con_nodes.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/graph/min_subtree_con_nodes.m | 1,393 | utf_8 | 4e0ded4c329d2d628dcac1223dadf428 | function [subtree, nroot_node] = min_subtree_con_nodes(jtree, root, nodes)
%min_subtree_con_nodes get the minimum subtree of tree which contains the nodes
if isempty(jtree) | isempty(nodes)
subtree = [];
nroot_node = [];
return;
end
rnodes = min_subtree_nodes(jtree, nodes);
nea_node = nearest_node(jtree, ... |
github | Hamza5/Plateforme-outils-SII-master | dfs.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/graph/Old/dfs.m | 2,742 | utf_8 | e416616d9aeba9dda8761af00ebe510a | function [d, pre, post, height, cycle, pred] = dfs(adj_mat, start, directed)
% DFS Perform a depth-first search of the graph starting from 'start'.
% [d, pre, post, height, cycle, pred] = dfs(adj_mat, start, directed)
%
% d(i) is the time at which node i is first discovered.
% pre is a listing of the nodes in the order... |
github | Hamza5/Plateforme-outils-SII-master | mlphess_weighted.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlabKPM/mlphess_weighted.m | 1,676 | utf_8 | 63c5afc13207d0df6cefe943ed0bf4e3 | function [h, hdata] = mlphess_weighted(net, x, t, eso_w, hdata)
%MLPHESS Evaluate the Hessian matrix for a multi-layer perceptron network.
%
% Description
% H = MLPHESS(NET, X, T) takes an MLP network data structure NET, a
% matrix X of input values, and a matrix T of target values and returns
% the full Hessian matrix... |
github | Hamza5/Plateforme-outils-SII-master | kmeans_demo.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlabKPM/kmeans_demo.m | 1,898 | utf_8 | 91c1e17f43f6926af5f8cd134997d7fb | function kmeans_demo()
% Generate T points from K=5 1D clusters, and try to recover the cluster
% centers using k-means.
% Requires BNT, netlab and the matlab stats toolbox v4.
K = 5;
ndim = 1;
true_centers = 1:K;
sigma = 1e-6;
T = 100;
% data(t,:) is the t'th data point
data = zeros(T, ndim);
% ndx(t) = i means the... |
github | Hamza5/Plateforme-outils-SII-master | process_options.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/netlabKPM/process_options.m | 4,394 | utf_8 | 483b50d27e3bdb68fd2903a0cab9df44 | % PROCESS_OPTIONS - Processes options passed to a Matlab function.
% This function provides a simple means of
% parsing attribute-value options. Each option is
% named by a unique string and is given a default
% value.
%
% Usage: [var1, var2, ...... |
github | Hamza5/Plateforme-outils-SII-master | dot_to_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/dot_to_graph.m | 5,047 | utf_8 | 8381f0cd349c190d14513619746ca065 | function [Adj, labels, x, y] = dot_to_graph(filename)
% [Adj, labels, x, y] = dot_to_graph(filename)
% Extract a matrix representation, node labels, and node position coordinates
% from a file in GraphViz format http://www.research.att.com/sw/tools/graphviz
%
% INPUTS:
% 'filename' - the file in DOT format containin... |
github | Hamza5/Plateforme-outils-SII-master | draw_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/draw_graph.m | 7,888 | utf_8 | 30a1af757c80236524bdcb650ad000a6 | function [x, y, h] = draw_graph(adj, labels, node_t, x, y, varargin)
% DRAW_LAYOUT Draws a layout for a graph
%
% [X, Y, H] = DRAW_LAYOUT(ADJ, <LABELS, ISBOX, X, Y>)
%
% Inputs :
% ADJ : Adjacency matrix (source, sink)
% LABELS : Cell array containing labels <Default : '1':'N'>
% ISBOX : 1 if node is a b... |
github | Hamza5/Plateforme-outils-SII-master | draw_dot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/draw_dot.m | 3,642 | utf_8 | 6e2ae962e218def3e9988240ae39b7ae | function draw_dot(adj,varargin);
%DRAW_DOT Draw a graph.
% DRAW_DOT(ADJ) plots the graph ADJ in the current figure window, using
% 'neato' to optimize the layout.
%
% Optional arguments can be passed as name/value pairs: [default]
%
% 'isbox' - a vector specifying which nodes should be boxed [0]
% 'rotate' - ... |
github | Hamza5/Plateforme-outils-SII-master | arrow.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/arrow.m | 53,423 | utf_8 | dee09fae91e85b0cb7685914e7ef6333 | function [h,yy,zz] = arrow(varargin)
% ARROW Draw a line with an arrowhead.
%
% ARROW(Start,Stop) draws a line with an arrow from Start to Stop (points
% should be vectors of length 2 or 3, or matrices with 2 or 3
% columns), and returns the graphics handle of the arrow(s).
%
% ARROW uses the mouse (cl... |
github | Hamza5/Plateforme-outils-SII-master | draw_hmm.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/draw_hmm.m | 2,805 | utf_8 | 9543d58b99c7ad9801991b7ef34d9a3e | function draw_hmm(A, varargin)
% DRAW_HMM Make a picture of the HMM using dotty
% function draw_hmm(A, ...)
%
% For details on dotty, see http://www.research.att.com/sw/tools/graphviz
%
% If A(i,j) > thresh, we draw and arc from state i to state j.
%
% Optional arguments (name/value pairs) [default]
%
% thresh - [1e-1]... |
github | Hamza5/Plateforme-outils-SII-master | make_layout.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/make_layout.m | 3,338 | utf_8 | e6ecdc9d4355a36292033ccc4b250d4e | function [x, y] = layout_dag(adj)
% MAKE_LAYOUT Creates a layout from an adjacency matrix
%
% [X, Y] = MAKE_LAYOUT(ADJ)
%
% Inputs :
% ADJ = adjacency matrix (source, sink)
%
% Outputs :
% X, Y : Positions of nodes
%
% Usage Example : [X, Y] = make_layout(adj);
%
%
% Note : Uses some very simple heuristics, so any ot... |
github | Hamza5/Plateforme-outils-SII-master | process_options.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/process_options.m | 4,394 | utf_8 | 483b50d27e3bdb68fd2903a0cab9df44 | % PROCESS_OPTIONS - Processes options passed to a Matlab function.
% This function provides a simple means of
% parsing attribute-value options. Each option is
% named by a unique string and is given a default
% value.
%
% Usage: [var1, var2, ...... |
github | Hamza5/Plateforme-outils-SII-master | draw_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/Old/draw_graph.m | 7,348 | utf_8 | e2bd24c6039baee127a9ac6bbe83c22f | function [x, y, h] = draw_graph(adj, labels, node_t, x, y)
% DRAW_LAYOUT Draws a layout for a graph
%
% [<X, Y>] = DRAW_LAYOUT(ADJ, <LABELS, ISBOX, X, Y>)
%
% Inputs :
% ADJ : Adjacency matrix (source, sink)
% LABELS : Cell array containing labels <Default : '1':'N'>
% ISBOX : 1 if node is a box, 0 if ov... |
github | Hamza5/Plateforme-outils-SII-master | pre_pesha_graph_to_dot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/GraphViz/Old/pre_pesha_graph_to_dot.m | 3,903 | utf_8 | 19ad571a86e5671e5cd19f4ac6272e99 | function graph_to_dot(G, varargin)
% DAG_TO_DOT Make a file representing the directed graph in dotty format.
% dag_to_dot(G, ...)
%
% Optional arguments should be passed as name/value pairs [default]
%
% 'filename' - if omitted, we write to 'tmp.dot', convert this to 'tmp.ps',
% and then call ghostview aut... |
github | Hamza5/Plateforme-outils-SII-master | zipload.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/zipload.m | 1,611 | utf_8 | 67412c21b14bebb640784443e9e3bbd8 | %ZIPLOAD Load compressed data file created with ZIPSAVE
%
% [data] = zipload( filename )
% filename: string variable that contains the name of the
% compressed file (do not include '.zip' extension)
% Use only with files created with 'zipsave'
% pkzip25.exe has to be in the matlab path. This file is a compression ut... |
github | Hamza5/Plateforme-outils-SII-master | plot_ellipse.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/plot_ellipse.m | 507 | utf_8 | 3a27bbd5c1bdfe99983171e96789da6d | % PLOT_ELLIPSE
% h=plot_ellipse(x,y,theta,a,b)
%
% This routine plots an ellipse with centre (x,y), axis lengths a,b
% with major axis at an angle of theta radians from the horizontal.
%
% Author: P. Fieguth
% Jan. 98
%
%http://ocho.uwaterloo.ca/~pfieguth/Teaching/372/plot_ellipse.m
function h=plot_ellipse(x,... |
github | Hamza5/Plateforme-outils-SII-master | bipartiteMatchingHungarian.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/bipartiteMatchingHungarian.m | 2,593 | utf_8 | 983df7bc538a844b42427ae58d69c75b | % MATCH - Solves the weighted bipartite matching (or assignment)
% problem.
%
% Usage: a = match(C);
%
% Arguments:
% C - an m x n cost matrix; the sets are taken to be
% 1:m and 1:n; C(i, j) gives the cost of matching
% items i (of the first set) and j (of the se... |
github | Hamza5/Plateforme-outils-SII-master | conf2mahal.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/conf2mahal.m | 2,424 | utf_8 | 682226ca8c1183325f4204e0c22de0a7 | % CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d * det(C)) * exp((-1/2) * MD(x, m, inv(C)))
%
% where MD(x, m, P) is the Mahalanobis distance from x
% ... |
github | Hamza5/Plateforme-outils-SII-master | plotcov2New.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/plotcov2New.m | 4,049 | utf_8 | 532d83ce3f29a9e331398ac39f53ff45 | % PLOTCOV2 - Plots a covariance ellipsoid with axes for a bivariate
% Gaussian distribution.
%
% Usage:
% [h, s] = plotcov2(mu, Sigma[, OPTIONS]);
%
% Inputs:
% mu - a 2 x 1 vector giving the mean of the distribution.
% Sigma - a 2 x 2 symmetric positive semi-definite matrix giving
% the ... |
github | Hamza5/Plateforme-outils-SII-master | plotgauss2d.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/plotgauss2d.m | 4,119 | utf_8 | 1bf48827c7a74f224086a54411e4ac82 | function h=plotgauss2d(mu, Sigma)
% PLOTGAUSS2D Plot a 2D Gaussian as an ellipse with optional cross hairs
% h=plotgauss2(mu, Sigma)
%
h = plotcov2(mu, Sigma);
return;
%%%%%%%%%%%%%%%%%%%%%%%%
% PLOTCOV2 - Plots a covariance ellipse with major and minor axes
% for a bivariate Gaussian distribution.
%
% Us... |
github | Hamza5/Plateforme-outils-SII-master | subv2indKPM.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/subv2indKPM.m | 1,577 | utf_8 | 12b9635f4525e195cf43b64439bc90b1 | function ndx = subv2indKPM(siz, subv)
% SUBV2IND Like the built-in sub2ind, but the subscripts are given as row vectors.
% ind = subv2ind(siz,subv)
%
% siz can be a row or column vector of size d.
% subv should be a collection of N row vectors of size d.
% ind will be of size N * 1.
%
% Example:
% subv = [1 1 1;
% ... |
github | Hamza5/Plateforme-outils-SII-master | zipsave.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/zipsave.m | 1,480 | utf_8 | cc543374345b9e369d147c452008bc36 | %ZIPSAVE Save data in compressed format
%
% zipsave( filename, data )
% filename: string variable that contains the name of the resulting
% compressed file (do not include '.zip' extension)
% pkzip25.exe has to be in the matlab path. This file is a compression utility
% made by Pkware, Inc. It can be dowloaded from... |
github | Hamza5/Plateforme-outils-SII-master | matprint.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/matprint.m | 1,020 | utf_8 | e92a96dad0e0b9f25d2fe56280ba6393 | % MATPRINT - prints a matrix with specified format string
%
% Usage: matprint(a, fmt, fid)
%
% a - Matrix to be printed.
% fmt - C style format string to use for each value.
% fid - Optional file id.
%
% Eg. matprint(a,'%3.1f') will print each entry to 1 decimal place
... |
github | Hamza5/Plateforme-outils-SII-master | plotcov3.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/plotcov3.m | 4,040 | utf_8 | 1f186acd56002148a3da006a9fc8b6a2 | % PLOTCOV3 - Plots a covariance ellipsoid with axes for a trivariate
% Gaussian distribution.
%
% Usage:
% [h, s] = plotcov3(mu, Sigma[, OPTIONS]);
%
% Inputs:
% mu - a 3 x 1 vector giving the mean of the distribution.
% Sigma - a 3 x 3 symmetric positive semi-definite matrix giving
% the... |
github | Hamza5/Plateforme-outils-SII-master | exportfig.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/exportfig.m | 30,663 | utf_8 | 838a8ee93ca6a9b6a85a90fa68976617 | function varargout = exportfig(varargin)
%EXPORTFIG Export a figure.
% EXPORTFIG(H, FILENAME) writes the figure H to FILENAME. H is
% a figure handle and FILENAME is a string that specifies the
% name of the output file.
%
% EXPORTFIG(H, FILENAME, OPTIONS) writes the figure H to FILENAME
% with options init... |
github | Hamza5/Plateforme-outils-SII-master | montageKPM.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/montageKPM.m | 2,917 | utf_8 | 3863707e80820a96eac8635dfccbbf11 | function h = montageKPM(arg)
% montageKPM is like the built-in montage, but assumes input is MxNxK or filenames
%
% Converts patches (y,x,i) into patches(y,x,1,i)
% Also, adds a black border aroudn them
if iscell(arg)
h= montageFilenames(arg);
else
nr = size(arg,1); nc = size(arg,2); Npatches = size(arg,3);
patc... |
github | Hamza5/Plateforme-outils-SII-master | optimalMatching.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/optimalMatching.m | 2,593 | utf_8 | 983df7bc538a844b42427ae58d69c75b | % MATCH - Solves the weighted bipartite matching (or assignment)
% problem.
%
% Usage: a = match(C);
%
% Arguments:
% C - an m x n cost matrix; the sets are taken to be
% 1:m and 1:n; C(i, j) gives the cost of matching
% items i (of the first set) and j (of the se... |
github | Hamza5/Plateforme-outils-SII-master | plotcov2.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/plotcov2.m | 3,013 | utf_8 | 4305f11ba0280ef8ebcad4c8a4c4013c | % PLOTCOV2 - Plots a covariance ellipse with major and minor axes
% for a bivariate Gaussian distribution.
%
% Usage:
% h = plotcov2(mu, Sigma[, OPTIONS]);
%
% Inputs:
% mu - a 2 x 1 vector giving the mean of the distribution.
% Sigma - a 2 x 2 symmetric positive semi-definite matrix giving
% ... |
github | Hamza5/Plateforme-outils-SII-master | ind2subvKPM.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/ind2subvKPM.m | 1,213 | utf_8 | 86a39a06ec168dfc54cf4b3f42b0da39 | function sub = ind2subvKPM(siz, ndx)
% IND2SUBV Like the built-in ind2sub, but returns the answer as a row vector.
% sub = ind2subv(siz, ndx)
%
% siz and ndx can be row or column vectors.
% sub will be of size length(ndx) * length(siz).
%
% Example
% ind2subv([2 2 2], 1:8) returns
% [1 1 1
% 2 1 1
% ...
% 2 2 2]... |
github | Hamza5/Plateforme-outils-SII-master | process_options.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/process_options.m | 4,394 | utf_8 | 483b50d27e3bdb68fd2903a0cab9df44 | % PROCESS_OPTIONS - Processes options passed to a Matlab function.
% This function provides a simple means of
% parsing attribute-value options. Each option is
% named by a unique string and is given a default
% value.
%
% Usage: [var1, var2, ...... |
github | Hamza5/Plateforme-outils-SII-master | mahal2conf.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/mahal2conf.m | 2,295 | utf_8 | 0fcdfc9378ec59cce78b92f51e3b0b68 | % MAHAL2CONF - Translates a Mahalanobis distance into a confidence
% interval. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d * det(C)) * exp((-1/2) * MD(x, m, inv(C)))
%
% where MD(x, m, P) is the Mahalanobis distance from x
% ... |
github | Hamza5/Plateforme-outils-SII-master | nonmaxsup.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/KPMtools/nonmaxsup.m | 1,708 | utf_8 | ad451680a9d414f907da2969e0809c22 | % NONMAXSUP - Non-maximal Suppression
%
% Usage: cim = nonmaxsup(im, radius)
%
% Arguments:
% im - image to be processed.
% radius - radius of region considered in non-maximal
% suppression (optional). Typical values to use might
% be 1-3. Default i... |
github | Hamza5/Plateforme-outils-SII-master | learn_kalman.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/CVS/Kalman/learn_kalman.m | 5,498 | utf_8 | 1eb57cbc6fe45cdbb4b60ab0869912f6 | function [A, C, Q, R, initx, initV, LL] = ...
learn_kalman(data, A, C, Q, R, initx, initV, max_iter, diagQ, diagR, ARmode, constr_fun, varargin)
% LEARN_KALMAN Find the ML parameters of a stochastic Linear Dynamical System using EM.
%
% [A, C, Q, R, INITX, INITV, LL] = LEARN_KALMAN(DATA, A0, C0, Q0, R0, INITX0, INI... |
github | Hamza5/Plateforme-outils-SII-master | mlphess_weighted.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/netlabKPM/mlphess_weighted.m | 1,676 | utf_8 | 63c5afc13207d0df6cefe943ed0bf4e3 | function [h, hdata] = mlphess_weighted(net, x, t, eso_w, hdata)
%MLPHESS Evaluate the Hessian matrix for a multi-layer perceptron network.
%
% Description
% H = MLPHESS(NET, X, T) takes an MLP network data structure NET, a
% matrix X of input values, and a matrix T of target values and returns
% the full Hessian matrix... |
github | Hamza5/Plateforme-outils-SII-master | kmeans_demo.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/netlabKPM/kmeans_demo.m | 1,898 | utf_8 | 91c1e17f43f6926af5f8cd134997d7fb | function kmeans_demo()
% Generate T points from K=5 1D clusters, and try to recover the cluster
% centers using k-means.
% Requires BNT, netlab and the matlab stats toolbox v4.
K = 5;
ndim = 1;
true_centers = 1:K;
sigma = 1e-6;
T = 100;
% data(t,:) is the t'th data point
data = zeros(T, ndim);
% ndx(t) = i means the... |
github | Hamza5/Plateforme-outils-SII-master | process_options.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/netlabKPM/process_options.m | 4,394 | utf_8 | 483b50d27e3bdb68fd2903a0cab9df44 | % PROCESS_OPTIONS - Processes options passed to a Matlab function.
% This function provides a simple means of
% parsing attribute-value options. Each option is
% named by a unique string and is given a default
% value.
%
% Usage: [var1, var2, ...... |
github | Hamza5/Plateforme-outils-SII-master | dot_to_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/dot_to_graph.m | 5,047 | utf_8 | 8381f0cd349c190d14513619746ca065 | function [Adj, labels, x, y] = dot_to_graph(filename)
% [Adj, labels, x, y] = dot_to_graph(filename)
% Extract a matrix representation, node labels, and node position coordinates
% from a file in GraphViz format http://www.research.att.com/sw/tools/graphviz
%
% INPUTS:
% 'filename' - the file in DOT format containin... |
github | Hamza5/Plateforme-outils-SII-master | draw_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/draw_graph.m | 7,888 | utf_8 | 30a1af757c80236524bdcb650ad000a6 | function [x, y, h] = draw_graph(adj, labels, node_t, x, y, varargin)
% DRAW_LAYOUT Draws a layout for a graph
%
% [X, Y, H] = DRAW_LAYOUT(ADJ, <LABELS, ISBOX, X, Y>)
%
% Inputs :
% ADJ : Adjacency matrix (source, sink)
% LABELS : Cell array containing labels <Default : '1':'N'>
% ISBOX : 1 if node is a b... |
github | Hamza5/Plateforme-outils-SII-master | draw_dot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/draw_dot.m | 3,642 | utf_8 | 6e2ae962e218def3e9988240ae39b7ae | function draw_dot(adj,varargin);
%DRAW_DOT Draw a graph.
% DRAW_DOT(ADJ) plots the graph ADJ in the current figure window, using
% 'neato' to optimize the layout.
%
% Optional arguments can be passed as name/value pairs: [default]
%
% 'isbox' - a vector specifying which nodes should be boxed [0]
% 'rotate' - ... |
github | Hamza5/Plateforme-outils-SII-master | arrow.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/arrow.m | 53,423 | utf_8 | dee09fae91e85b0cb7685914e7ef6333 | function [h,yy,zz] = arrow(varargin)
% ARROW Draw a line with an arrowhead.
%
% ARROW(Start,Stop) draws a line with an arrow from Start to Stop (points
% should be vectors of length 2 or 3, or matrices with 2 or 3
% columns), and returns the graphics handle of the arrow(s).
%
% ARROW uses the mouse (cl... |
github | Hamza5/Plateforme-outils-SII-master | draw_hmm.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/draw_hmm.m | 2,805 | utf_8 | 9543d58b99c7ad9801991b7ef34d9a3e | function draw_hmm(A, varargin)
% DRAW_HMM Make a picture of the HMM using dotty
% function draw_hmm(A, ...)
%
% For details on dotty, see http://www.research.att.com/sw/tools/graphviz
%
% If A(i,j) > thresh, we draw and arc from state i to state j.
%
% Optional arguments (name/value pairs) [default]
%
% thresh - [1e-1]... |
github | Hamza5/Plateforme-outils-SII-master | make_layout.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/make_layout.m | 3,338 | utf_8 | e6ecdc9d4355a36292033ccc4b250d4e | function [x, y] = layout_dag(adj)
% MAKE_LAYOUT Creates a layout from an adjacency matrix
%
% [X, Y] = MAKE_LAYOUT(ADJ)
%
% Inputs :
% ADJ = adjacency matrix (source, sink)
%
% Outputs :
% X, Y : Positions of nodes
%
% Usage Example : [X, Y] = make_layout(adj);
%
%
% Note : Uses some very simple heuristics, so any ot... |
github | Hamza5/Plateforme-outils-SII-master | process_options.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/process_options.m | 4,394 | utf_8 | 483b50d27e3bdb68fd2903a0cab9df44 | % PROCESS_OPTIONS - Processes options passed to a Matlab function.
% This function provides a simple means of
% parsing attribute-value options. Each option is
% named by a unique string and is given a default
% value.
%
% Usage: [var1, var2, ...... |
github | Hamza5/Plateforme-outils-SII-master | draw_graph.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/Old/draw_graph.m | 7,348 | utf_8 | e2bd24c6039baee127a9ac6bbe83c22f | function [x, y, h] = draw_graph(adj, labels, node_t, x, y)
% DRAW_LAYOUT Draws a layout for a graph
%
% [<X, Y>] = DRAW_LAYOUT(ADJ, <LABELS, ISBOX, X, Y>)
%
% Inputs :
% ADJ : Adjacency matrix (source, sink)
% LABELS : Cell array containing labels <Default : '1':'N'>
% ISBOX : 1 if node is a box, 0 if ov... |
github | Hamza5/Plateforme-outils-SII-master | pre_pesha_graph_to_dot.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/GraphViz/Old/pre_pesha_graph_to_dot.m | 3,903 | utf_8 | 19ad571a86e5671e5cd19f4ac6272e99 | function graph_to_dot(G, varargin)
% DAG_TO_DOT Make a file representing the directed graph in dotty format.
% dag_to_dot(G, ...)
%
% Optional arguments should be passed as name/value pairs [default]
%
% 'filename' - if omitted, we write to 'tmp.dot', convert this to 'tmp.ps',
% and then call ghostview aut... |
github | Hamza5/Plateforme-outils-SII-master | zipload.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/zipload.m | 1,611 | utf_8 | 67412c21b14bebb640784443e9e3bbd8 | %ZIPLOAD Load compressed data file created with ZIPSAVE
%
% [data] = zipload( filename )
% filename: string variable that contains the name of the
% compressed file (do not include '.zip' extension)
% Use only with files created with 'zipsave'
% pkzip25.exe has to be in the matlab path. This file is a compression ut... |
github | Hamza5/Plateforme-outils-SII-master | plot_ellipse.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/plot_ellipse.m | 507 | utf_8 | 3a27bbd5c1bdfe99983171e96789da6d | % PLOT_ELLIPSE
% h=plot_ellipse(x,y,theta,a,b)
%
% This routine plots an ellipse with centre (x,y), axis lengths a,b
% with major axis at an angle of theta radians from the horizontal.
%
% Author: P. Fieguth
% Jan. 98
%
%http://ocho.uwaterloo.ca/~pfieguth/Teaching/372/plot_ellipse.m
function h=plot_ellipse(x,... |
github | Hamza5/Plateforme-outils-SII-master | bipartiteMatchingHungarian.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/bipartiteMatchingHungarian.m | 2,593 | utf_8 | 983df7bc538a844b42427ae58d69c75b | % MATCH - Solves the weighted bipartite matching (or assignment)
% problem.
%
% Usage: a = match(C);
%
% Arguments:
% C - an m x n cost matrix; the sets are taken to be
% 1:m and 1:n; C(i, j) gives the cost of matching
% items i (of the first set) and j (of the se... |
github | Hamza5/Plateforme-outils-SII-master | conf2mahal.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/conf2mahal.m | 2,424 | utf_8 | 682226ca8c1183325f4204e0c22de0a7 | % CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d * det(C)) * exp((-1/2) * MD(x, m, inv(C)))
%
% where MD(x, m, P) is the Mahalanobis distance from x
% ... |
github | Hamza5/Plateforme-outils-SII-master | plotcov2New.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/plotcov2New.m | 4,049 | utf_8 | 532d83ce3f29a9e331398ac39f53ff45 | % PLOTCOV2 - Plots a covariance ellipsoid with axes for a bivariate
% Gaussian distribution.
%
% Usage:
% [h, s] = plotcov2(mu, Sigma[, OPTIONS]);
%
% Inputs:
% mu - a 2 x 1 vector giving the mean of the distribution.
% Sigma - a 2 x 2 symmetric positive semi-definite matrix giving
% the ... |
github | Hamza5/Plateforme-outils-SII-master | plotgauss2d.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/plotgauss2d.m | 4,119 | utf_8 | 1bf48827c7a74f224086a54411e4ac82 | function h=plotgauss2d(mu, Sigma)
% PLOTGAUSS2D Plot a 2D Gaussian as an ellipse with optional cross hairs
% h=plotgauss2(mu, Sigma)
%
h = plotcov2(mu, Sigma);
return;
%%%%%%%%%%%%%%%%%%%%%%%%
% PLOTCOV2 - Plots a covariance ellipse with major and minor axes
% for a bivariate Gaussian distribution.
%
% Us... |
github | Hamza5/Plateforme-outils-SII-master | subv2indKPM.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/subv2indKPM.m | 1,577 | utf_8 | 12b9635f4525e195cf43b64439bc90b1 | function ndx = subv2indKPM(siz, subv)
% SUBV2IND Like the built-in sub2ind, but the subscripts are given as row vectors.
% ind = subv2ind(siz,subv)
%
% siz can be a row or column vector of size d.
% subv should be a collection of N row vectors of size d.
% ind will be of size N * 1.
%
% Example:
% subv = [1 1 1;
% ... |
github | Hamza5/Plateforme-outils-SII-master | zipsave.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/zipsave.m | 1,480 | utf_8 | cc543374345b9e369d147c452008bc36 | %ZIPSAVE Save data in compressed format
%
% zipsave( filename, data )
% filename: string variable that contains the name of the resulting
% compressed file (do not include '.zip' extension)
% pkzip25.exe has to be in the matlab path. This file is a compression utility
% made by Pkware, Inc. It can be dowloaded from... |
github | Hamza5/Plateforme-outils-SII-master | matprint.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/matprint.m | 1,020 | utf_8 | e92a96dad0e0b9f25d2fe56280ba6393 | % MATPRINT - prints a matrix with specified format string
%
% Usage: matprint(a, fmt, fid)
%
% a - Matrix to be printed.
% fmt - C style format string to use for each value.
% fid - Optional file id.
%
% Eg. matprint(a,'%3.1f') will print each entry to 1 decimal place
... |
github | Hamza5/Plateforme-outils-SII-master | plotcov3.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/plotcov3.m | 4,040 | utf_8 | 1f186acd56002148a3da006a9fc8b6a2 | % PLOTCOV3 - Plots a covariance ellipsoid with axes for a trivariate
% Gaussian distribution.
%
% Usage:
% [h, s] = plotcov3(mu, Sigma[, OPTIONS]);
%
% Inputs:
% mu - a 3 x 1 vector giving the mean of the distribution.
% Sigma - a 3 x 3 symmetric positive semi-definite matrix giving
% the... |
github | Hamza5/Plateforme-outils-SII-master | exportfig.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/exportfig.m | 30,663 | utf_8 | 838a8ee93ca6a9b6a85a90fa68976617 | function varargout = exportfig(varargin)
%EXPORTFIG Export a figure.
% EXPORTFIG(H, FILENAME) writes the figure H to FILENAME. H is
% a figure handle and FILENAME is a string that specifies the
% name of the output file.
%
% EXPORTFIG(H, FILENAME, OPTIONS) writes the figure H to FILENAME
% with options init... |
github | Hamza5/Plateforme-outils-SII-master | montageKPM.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/montageKPM.m | 2,917 | utf_8 | 3863707e80820a96eac8635dfccbbf11 | function h = montageKPM(arg)
% montageKPM is like the built-in montage, but assumes input is MxNxK or filenames
%
% Converts patches (y,x,i) into patches(y,x,1,i)
% Also, adds a black border aroudn them
if iscell(arg)
h= montageFilenames(arg);
else
nr = size(arg,1); nc = size(arg,2); Npatches = size(arg,3);
patc... |
github | Hamza5/Plateforme-outils-SII-master | optimalMatching.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/optimalMatching.m | 2,593 | utf_8 | 983df7bc538a844b42427ae58d69c75b | % MATCH - Solves the weighted bipartite matching (or assignment)
% problem.
%
% Usage: a = match(C);
%
% Arguments:
% C - an m x n cost matrix; the sets are taken to be
% 1:m and 1:n; C(i, j) gives the cost of matching
% items i (of the first set) and j (of the se... |
github | Hamza5/Plateforme-outils-SII-master | plotcov2.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/plotcov2.m | 3,013 | utf_8 | 4305f11ba0280ef8ebcad4c8a4c4013c | % PLOTCOV2 - Plots a covariance ellipse with major and minor axes
% for a bivariate Gaussian distribution.
%
% Usage:
% h = plotcov2(mu, Sigma[, OPTIONS]);
%
% Inputs:
% mu - a 2 x 1 vector giving the mean of the distribution.
% Sigma - a 2 x 2 symmetric positive semi-definite matrix giving
% ... |
github | Hamza5/Plateforme-outils-SII-master | ind2subvKPM.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/ind2subvKPM.m | 1,213 | utf_8 | 86a39a06ec168dfc54cf4b3f42b0da39 | function sub = ind2subvKPM(siz, ndx)
% IND2SUBV Like the built-in ind2sub, but returns the answer as a row vector.
% sub = ind2subv(siz, ndx)
%
% siz and ndx can be row or column vectors.
% sub will be of size length(ndx) * length(siz).
%
% Example
% ind2subv([2 2 2], 1:8) returns
% [1 1 1
% 2 1 1
% ...
% 2 2 2]... |
github | Hamza5/Plateforme-outils-SII-master | process_options.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/process_options.m | 4,394 | utf_8 | 483b50d27e3bdb68fd2903a0cab9df44 | % PROCESS_OPTIONS - Processes options passed to a Matlab function.
% This function provides a simple means of
% parsing attribute-value options. Each option is
% named by a unique string and is given a default
% value.
%
% Usage: [var1, var2, ...... |
github | Hamza5/Plateforme-outils-SII-master | mahal2conf.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/mahal2conf.m | 2,295 | utf_8 | 0fcdfc9378ec59cce78b92f51e3b0b68 | % MAHAL2CONF - Translates a Mahalanobis distance into a confidence
% interval. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d * det(C)) * exp((-1/2) * MD(x, m, inv(C)))
%
% where MD(x, m, P) is the Mahalanobis distance from x
% ... |
github | Hamza5/Plateforme-outils-SII-master | nonmaxsup.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/KPMtools/nonmaxsup.m | 1,708 | utf_8 | ad451680a9d414f907da2969e0809c22 | % NONMAXSUP - Non-maximal Suppression
%
% Usage: cim = nonmaxsup(im, radius)
%
% Arguments:
% im - image to be processed.
% radius - radius of region considered in non-maximal
% suppression (optional). Typical values to use might
% be 1-3. Default i... |
github | Hamza5/Plateforme-outils-SII-master | learn_kalman.m | .m | Plateforme-outils-SII-master/src/Plugins/incertain/FullBNT-1.0.4/Kalman/learn_kalman.m | 5,498 | utf_8 | 1eb57cbc6fe45cdbb4b60ab0869912f6 | function [A, C, Q, R, initx, initV, LL] = ...
learn_kalman(data, A, C, Q, R, initx, initV, max_iter, diagQ, diagR, ARmode, constr_fun, varargin)
% LEARN_KALMAN Find the ML parameters of a stochastic Linear Dynamical System using EM.
%
% [A, C, Q, R, INITX, INITV, LL] = LEARN_KALMAN(DATA, A0, C0, Q0, R0, INITX0, INI... |
github | alpapado/food-101-master | make.m | .m | food-101-master/lib/liblinear-multicore-2.1-2/matlab/make.m | 1,647 | utf_8 | 82552ac12074ea9574d9db13ff5d4062 | % This make.m is for MATLAB and OCTAVE under Windows, Mac, and Unix
function make()
try
% This part is for OCTAVE
if(exist('OCTAVE_VERSION', 'builtin'))
mex libsvmread.c
mex libsvmwrite.c
setenv('CFLAGS', strcat(getenv('CFLAGS'), ' -fopenmp'))
setenv('CXXFLAGS', strcat(getenv('CXXFLAGS'), ' -fopenmp'))
mex ... |
github | alpapado/food-101-master | initWorkspaceSegmentation.m | .m | food-101-master/lib/graphSeg/initWorkspaceSegmentation.m | 1,122 | utf_8 | dca85ce3852c0306ed8465bd52e862f0 | function initWorkspaceSegmentation
%% setup paths in use-specific manner
if strcmp( getenv('USER'), 'freytag')
% dependencies go here
else
fprintf('Unknown user %s and unknown default settings', getenv('USER') );
end
%% add paths
% add main path
b_recursiv... |
github | alpapado/food-101-master | trainFinalClassifier_smallmem.m | .m | food-101-master/src/finalClassifier/trainFinalClassifier_smallmem.m | 1,355 | utf_8 | 15e5a4c2dcdb1d3fd919e0069d3ffa00 | function trainFinalClassifier_smallmem(params)
components = params.models;
encodeImageSet('train', components, params);
encodeImageSet('test', components, params);
end
function encodeImageSet(type, components, params)
if strcmp(type,'train')
fid = fopen('data/meta/train.txt');
m = matfile('./train.mat', 'Writab... |
github | alpapado/food-101-master | spatialPyramid.m | .m | food-101-master/src/finalClassifier/spatialPyramid.m | 2,671 | utf_8 | 38b3bd626cc2777f131293d028472d88 | function grid = spatialPyramid(levels, image, segments, badSegments)
%spatialPyramid Implements a spatial pyramid scheme
% Returns an object that contains the points that
% constitute the rectangles of the grid at the various levels of
% resolution, as specified by levels.
% A spatial pyramid is a collection of... |
github | alpapado/food-101-master | trainFinalClassifier.m | .m | food-101-master/src/finalClassifier/trainFinalClassifier.m | 2,715 | utf_8 | 9899ff250998571536f82d1d23b813cf | function trainFinalClassifier(params)
%trainFinalClassifier_mem Faster version of trainFinalClassifier for
%systems with huge memory
% This version of the function is much faster than the original because it
% avoids recomputing the image encodings since they have already been
% computed once during the segmentation ph... |
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