advanced_image_processing: Fixed a bug where spatial convolution on previous dimensions did not remain.
advanced_image_processing: Updated code in preprocess_data to take an optional bias argument and use accordingly.
batch_learner: Minor alignment.
advanced_image_processing: Instead of using the method initGaussian, switched to the factory function gaussianKernel from vigra.filters.
advanced_image_processing: Discovered that in VIGRA the argument is window_ratio (not size). So, the vigranumpy bindings are implement the same way. The ratio is terms of how many standard deviations to use. Therefore, explicit multiplication by the standard deviation is unnecessary.
F0_Comparison_Graph: Added 3D Graph option for F_0. This requires that only two coordinates (preferably one temporal and one spatial) be free to vary. The other coordinates must be fixed. This graph is very slow to load for large datasets. It may be worth revisiting how it can be sped up.
F0_Comparison_Graph: Changed filename to use
F0_Comparison_Graph: Reformatted to be more user friendly.
F0_Comparison_Graph: Changed so that view of the 3D graph is generated and saved to an image file instead of using an interactive window.