--- a
+++ b/combinedDeepLearningActiveContour/minFunc/logistic/LogisticLoss.m
@@ -0,0 +1,35 @@
+function [nll,g,H,T] = LogisticLoss(w,X,y)
+% w(feature,1)
+% X(instance,feature)
+% y(instance,1)
+
+[n,p] = size(X);
+
+Xw = X*w;
+yXw = y.*Xw;
+
+nll = sum(	([zeros(n,1) -yXw]));
+
+if nargout > 1
+    if nargout > 2
+        sig = 1./(1+exp(-yXw));
+        g = -X.'*(y.*(1-sig));
+    else
+        g = -X.'*(y./(1+exp(yXw)));
+    end
+end
+
+if nargout > 2
+    H = X.'*diag(sparse(sig.*(1-sig)))*X;
+end
+
+if nargout > 3
+    T = zeros(p,p,p);
+    for j1 = 1:p
+        for j2 = 1:p
+            for j3 = 1:p
+                T(j1,j2,j3) = sum(y(:).^3.*X(:,j1).*X(:,j2).*X(:,j3).*sig.*(1-sig).*(1-2*sig));
+            end
+        end
+    end
+end
\ No newline at end of file