Edited by author 02-01-2006 09:57 AM
I'm not concerned much with the percentages of their results, but I think that it's a bit suspicious when they imply they've achieved some computational benefit for the classification stage by using informative features rather than simple ones. In essence, they're simply shifting complexity from classification to feature extraction. The decision surface may be linear in the classification stage, but their informative feature templates still model local conditional dependence relationships between pixels. It's not surprising that the TAN classificiation would be redundant in that case. But in the end it's not clear that an "informative feature" strategy would scale any better than a simple feature strategy would.