From: Jeffrey Epstein <[email protected]> To: Ben Goertzell Subject: Re: Distinguishing Cats from Dogs Date: Sat, 10 Oct 2009 15:21:33 +0000 well then test them, i've seen poggios and again that was years ago. , it was already better On Sat, Oct 10, 2009 at 10:27 AM, Ben Goertze wrote: Hi, OK, I'll try to keep this reply "as simple as possible but no simpler ... To compare Itamar's emotion recognition to Poggio's, you would need to run both systems on the same corpus of videos, divided into the same set of categories, and then calculate the precision and recall of both systems. If they're not tested on the same corpus and the same set of categories, you can't make a rigorous comparison. I don't know if they've been tested on the same corpus or not. But, then you also have to look at how much hand-tuning of the feature extractors was done. If one system achieves better precision/recall figures than the other based on hand-tuning of feature extractors, this is nice for practical applications but not helpful for AGI. A more AGI-relevant test would be to test the two systems, without hand-tuning, on some categorization problem for which neither system was hand-configured: for instance, try them both on classifying different species of parrot, without telling Itamar or Tomaso in advance that this was going to be the test problem.... This would be more like the kind of classification problem an AGI encounters (novel categories, with no opportunity for hand-tuning of feature extractors). The other thing I pointed out in my long reply is that for AGI we don't just need an accurate vision system, we need one that integrates well with a cognition system. Actually Poggio's systems and Itamar's are both OK in that regard (unlike, say, an SVM based vision system) .. they're both hierarchical recurrent NN architectures and are kinda similar on the broad level. If that wasn't clear enough, call me sometime can discuss verbally ben and we On