On second thought, about this paper: "Parsing Natural Scenes and Natural Language with Recursive Neural Networks" Socher, Lin, Ng, Manning (2011)
They have pre-processed the image scenes so that each image contains less than 100 features. That is really "small data" and a logic engine would have no problem constructing a parse tree of the image using a bunch of first-order rules. I guess the research code's speed would be comparable to that of a logic engine's, if not slower... but that is regarding *recognition* task. What is special about their method is that it can learn from data efficiently. The learning can also be done by a logic engine, but that would be much slower... ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
