Dears, I need to implement the following objective function:

This objective function implements the SOFT-LABEL SVM, since my dataset don’t has labels. More information about the method can be found in

https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Zhao2016b.pdf.

My code:

```
function [ w,b ] = optimization(X,P)
[N,m] = size(X);
hingeLoss = @(y,svm) max(0, 1 - y.*svm);
svm_function = @(w,x,b) w*x + b;
gama = 1;
cvx_begin
variables w(m,1) b
obj1 = 0.5.*norm(w,2);
obj2 = 0;
for k=1:2,
for j=1:N,
obj2 = ...
obj2 + ...
gama.*P(j,k).*sum(hingeLoss((-1).^(k),
svm_function(w,X(j,:),b)));
end,
end
obj = obj1 + sum(obj2);
minimize(obj)
cvx_end
end
It's running, but the w vector has repeated values. I'm not sure if my code it's correct. Thanks!
```