Emmm... I see... It's quite interesting in recent developments of unsupervised learning also. GAN seems to be a promising approach in feature generation. Have you considered to try?
Yuhuang. On Saturday, January 14, 2017 at 4:44:42 PM UTC+1, Ben Goertzel wrote: > > Interesting. This approach shares a lot of ideas, at the high level, > with the approach we're pursuing, that builds a scene graph from the > patterns mined from the state of a DeSTIN-like deep NN.... The > contextual biasing of object recognition is an important part of our > approach and they are doing that too, in their own way... > > ben > > On Sat, Jan 14, 2017 at 10:18 PM, Yuhuang Hu <[email protected] > <javascript:>> wrote: > > The paper is here: https://arxiv.org/pdf/1701.02426v1.pdf > > > > Super interesting results, one can take an image and then generate a > full > > scene graph for inference. > > A great step to fix sub-symbolic-symbolic gap. > > > > Yuhuang. > > > > -- > > You received this message because you are subscribed to the Google > Groups > > "opencog" group. > > To unsubscribe from this group and stop receiving emails from it, send > an > > email to [email protected] <javascript:>. > > To post to this group, send email to [email protected] > <javascript:>. > > Visit this group at https://groups.google.com/group/opencog. > > To view this discussion on the web visit > > > https://groups.google.com/d/msgid/opencog/3c7646b3-613c-4e80-9fed-df09eeb80984%40googlegroups.com. > > > > For more options, visit https://groups.google.com/d/optout. > > > > -- > Ben Goertzel, PhD > http://goertzel.org > > “I tell my students, when you go to these meetings, see what direction > everyone is headed, so you can go in the opposite direction. Don’t > polish the brass on the bandwagon.” – V. S. Ramachandran > -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/34964f6e-9518-4832-bc13-912e20c99828%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
