mirror of
https://gitcode.com/gh_mirrors/ope/OpenFace.git
synced 2026-05-17 20:58:01 +00:00
55 lines
1.4 KiB
Matlab
55 lines
1.4 KiB
Matlab
function [ PrecalcYqDs ] = CalculateYqDs( n_sequences, x, similarityFNs, sparsityFNs, y)
|
|
%CALCULATESIMILARITIES Summary of this function goes here
|
|
% Detailed explanation goes here
|
|
|
|
K = numel(similarityFNs);
|
|
K2 = numel(sparsityFNs);
|
|
|
|
PrecalcYqDs = zeros(n_sequences, K + K2);
|
|
|
|
|
|
sample_length = size(y,1);
|
|
|
|
similarities = cell(K, 1);
|
|
sparsities = cell(K2, 1);
|
|
|
|
Similarities = zeros([sample_length, sample_length, K+K2]);
|
|
|
|
Bs = zeros([sample_length, sample_length, K+K2]);
|
|
|
|
for k=1:K
|
|
similarities{k} = similarityFNs{k}(x);
|
|
Similarities(:,:,k) = similarities{k};
|
|
S = Similarities(:,:,k);
|
|
D = diag(sum(S));
|
|
Bs(:,:,k) = D - S;
|
|
|
|
end
|
|
|
|
for k=1:K2
|
|
% this is constant so don't need to recalc
|
|
sparsities{k} = sparsityFNs{k}(x);
|
|
|
|
Similarities(:,:,K+k) = sparsities{k};
|
|
S = Similarities(:,:,K+k);
|
|
D = diag(sum(S));
|
|
% PrecalcQ2s{q}(:,:,k) = D - S;
|
|
Bs(:,:,K+k) = D + S;
|
|
% PrecalcQ2sFlat{q}{k} = PrecalcQ2s{q}{k}(logical(tril(ones(size(S)))));
|
|
|
|
end
|
|
|
|
for q = 1 : n_sequences
|
|
|
|
% go over all of the similarity metrics and construct the
|
|
% similarity matrices
|
|
yq = y(:,q);
|
|
|
|
for k=1:K+K2
|
|
PrecalcYqDs(q,k) = -yq'*Bs(:,:,k)*yq;
|
|
end
|
|
|
|
end
|
|
end
|
|
|