function  [y] = UGM_Decode_ICM(nodePot, edgePot, edgeStruct,y)
% INPUT
% nodePot(node,class)
% edgePot(class,class,edge) where e is referenced by V,E (must be the same
% between feature engine and inference engine)
%
% OUTPUT
% nodeLabel(node)

if nargin < 4
    [junk y] = max(nodePot,[],2);
end

if edgeStruct.useMex
   y = UGM_Decode_ICMC(nodePot,edgePot,edgeStruct.edgeEnds,edgeStruct.nStates,edgeStruct.V,edgeStruct.E,int32(y));
else
   y = Infer_ICM(nodePot,edgePot,edgeStruct,y); 
end

function [y] = Infer_ICM(nodePot,edgePot,edgeStruct,y)

[nNodes,maxStates] = size(nodePot);
nEdges = size(edgePot,3);
edgeEnds = edgeStruct.edgeEnds;
V = edgeStruct.V;
E = edgeStruct.E;
nStates = edgeStruct.nStates;


done = 0;
while ~done
    done = 1;
	y2 = y;
    for n = 1:nNodes
        % Compute Node Potential
        pot = nodePot(n,1:nStates(n));

        % Find Neighbors
        edges = UGM_getEdges(n,edgeStruct);

        % Multiply Edge Potentials
        for e = edges
            n1 = edgeEnds(e,1);
            n2 = edgeEnds(e,2);

            if n == edgeEnds(e,1)
                ep = edgePot(1:nStates(n1),y(n2),e)';
            else
                ep = edgePot(y(n1),1:nStates(n2),e);
            end
            pot = pot .* ep;
        end

        % Assign to Maximum State
        [junk newY] = max(pot);
        if newY ~= y(n)
            y(n) = newY;
            done = 0;
        end
    end

			fprintf('logPot = %f, changes = %d\n',UGM_LogConfigurationPotential(y,nodePot,edgePot,edgeEnds),sum(y2~=y));
end