docs: protected void initialLearning( T image ) {
  		// get subwindow at current estimated target position, to train classifier
  		get_subwindow(image, template);
  
  		// Kernel Regularized Least-Squares, calculate alphas (in Fourier domain)
  		//	k = dense_gauss_kernel(sigma, x);
  		dense_gauss_kernel(sigma, template, template,k);
  		fft.forward(k, kf);
  
  		// new_alphaf = yf ./ (fft2(k) + lambda);   %(Eq. 7)
  		computeAlphas(gaussianWeightDFT, kf, lambda, alphaf);
  	}