1 % get_emission_probabilities - computes p(x,s) for a single image
4 % X = get_emission_probabilities(features, s,sigma)
6 % features - a matrix of size(width(image),2*?) containing feature
7 % vectors for each column of a given image
8 % s - prior probabilities p(s)
9 % sigma - variance of a single part of the underlying distribution
12 % X - emission probabilities (rows correspond to
13 % observations at given times, columns to hidden states)
14 function [X] = get_emission_probabilities(features, s,sigma)
15 if(size(s,2)==1); s=repmat(s,1,size(features,1)); end
16 X = zeros(size(features,1),size(s,1));
24 X(i,j)=get_prob(j,features(i,:),sigma);