Log directory is: /usr/people/woolrich/fsl/nsrc/smmfast/logdir++++
epibt =1000
spatialdatafile =/usr/people/woolrich/matlab/smm/data/art_z_checker
maskfile =/usr/people/woolrich/matlab/smm/data/art_mask_checker
mrf_precision=0.25
means=-0.187964 2.466296 -5.830409 

vars=0.781579 2.096998 1.603299 

props=0.559440 0.127918 0.312642 

it=1
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=1988.99
smmfunc.evaluate_withmrfprec(latest)=-1702.47
latest(nclasses*num_superthreshold+1)=71.6585
mrf_precision=71.6585
it=2
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-1702.47
smmfunc.evaluate_withmrfprec(latest)=-1969.63
latest(nclasses*num_superthreshold+1)=114.107
mrf_precision=114.107
it=3
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-1969.63
smmfunc.evaluate_withmrfprec(latest)=-2069.99
latest(nclasses*num_superthreshold+1)=135.829
mrf_precision=135.829
it=4
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2069.99
smmfunc.evaluate_withmrfprec(latest)=-2119.04
latest(nclasses*num_superthreshold+1)=147.931
mrf_precision=147.931
it=5
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2119.04
smmfunc.evaluate_withmrfprec(latest)=-2168.2
latest(nclasses*num_superthreshold+1)=161.158
mrf_precision=161.158
it=6
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2168.2
smmfunc.evaluate_withmrfprec(latest)=-2202.21
latest(nclasses*num_superthreshold+1)=170.851
mrf_precision=170.851
it=7
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2202.21
smmfunc.evaluate_withmrfprec(latest)=-2257.59
latest(nclasses*num_superthreshold+1)=187.959
mrf_precision=187.959
it=8
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2257.59
smmfunc.evaluate_withmrfprec(latest)=-2291.83
latest(nclasses*num_superthreshold+1)=199.568
mrf_precision=199.568
it=9
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2291.83
smmfunc.evaluate_withmrfprec(latest)=-2320.1
latest(nclasses*num_superthreshold+1)=209.342
mrf_precision=209.342
it=10
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2320.1
smmfunc.evaluate_withmrfprec(latest)=-2339.78
latest(nclasses*num_superthreshold+1)=216.569
mrf_precision=216.569
it=11
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2339.78
smmfunc.evaluate_withmrfprec(latest)=-2362.63
latest(nclasses*num_superthreshold+1)=225.299
mrf_precision=225.299
it=12
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2362.63
smmfunc.evaluate_withmrfprec(latest)=-2374.07
latest(nclasses*num_superthreshold+1)=229.721
mrf_precision=229.721
it=13
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2374.07
smmfunc.evaluate_withmrfprec(latest)=-2385.38
latest(nclasses*num_superthreshold+1)=234.241
mrf_precision=234.241
it=14
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2385.38
smmfunc.evaluate_withmrfprec(latest)=-2397.25
latest(nclasses*num_superthreshold+1)=239.055
mrf_precision=239.055
it=15
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2397.25
smmfunc.evaluate_withmrfprec(latest)=-2412.04
latest(nclasses*num_superthreshold+1)=245.244
mrf_precision=245.244
it=16
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2412.04
smmfunc.evaluate_withmrfprec(latest)=-2422.29
latest(nclasses*num_superthreshold+1)=249.555
mrf_precision=249.555
it=17
sit=1
"Updating distribution params"=Updating distribution params
"Updating weights"=Updating weights
smmfunc.evaluate_withmrfprec(latest)=-2422.29