Mm - hmm.
um  and uh  shared with him the ideas about um  extending the Larry Saul work and um I asked him some questions about factorial H M so like later down the line when  we 've come up with these  these feature detectors , how do we   how do we uh  you know , uh model the time series that  that happens um   and  and we talked a little bit about  factorial H M Ms and how  um when you 're doing inference  or w when you 're doing recognition , there 's like simple Viterbi stuff that you can do for   for these H M and  the uh   the great advantages that um a lot of times the factorial H M Ms don't  um  don't over - alert the problem there they have a limited number of parameters and they focus directly on   on uh the sub - problems at hand so  you can imagine  um  five or so parallel  um features um transitioning independently and then  at the end you  you uh couple these factorial H M Ms with uh   with uh undirected links um based on   based on some more data.
Hmm.
So he  he seemed  he seemed like really interested in   in um  in this and said  said this is  this is something very do - able and can learn a lot and um yeah , I 've just been  continue reading um about certain things.