Slide 7: Define oblique or use different word or illustrate oblique
Slide 8: Separate into two slides to empahasize Frank. Make table with columns "Oblique/Axis-aligned", "Sparse/Dense", and "Robust". Show prior art here. Show full table at end.
Slide 10: Remove words and just illustrate synthetic datasets. Remove mention of benchmark data. Illustrate sparse parity with XOR plot
Slide 12: SHOW splits in two dimensions for RF and F-RC. Sentence for each why it succeeds and why it fails. Explain what we want (what a good split is)
Slide 13: Separate classification performance and training time into two slides
Slide 14: Too much. Choose one transformation. Make Frank black and thick. Others grey and thin
Slide 15: One colorbar with no numbers. Only three x-axis ticks. Only choose Raw, Affine, and Corrupted?