modified:   GPy/examples/dimensionality_reduction.py
brendan_faces(): normalizing the feature vectors w.r.t. the
global mean and standard deviation.
Changed optimisation constraints because it was never converging.
modified:   GPy/util/visualize.py
Added the functionality of showing a mosaic of NxN reconstructed images
when the size of the number of elements in the feature vector greater
than dimensions[0]*dimensions[1].
modified:   GPy/models/GPLVM.py
Using the following kernel by default:
kernel = kern.rbf(Q, ARD=Q>1) + kern.bias(Q, np.exp(-2)) + kern.white(Q, np.exp(-2))
Merge branch 'devel' of github.com:SheffieldML/GPy into devel