git.maemo.org Git - opencv/blob - apps/HMMDemo/SampleBase/Valery.Mosyagin/hmm.txt

   1 <NumSuperStates> 5\r
   2 <NumStates> 3 6 6 6 3 \r
   3 <NumMixtures> 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 \r
   4 <VecSize> 9\r
   5 <BeginExternalHMM>\r
   6 <NumStates> 5\r
   7 <TransP>\r
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  12 -10000000000.000000 -10000000000.000000 -10000000000.000000 -10000000000.000000 0.000000 \r
  13 <EndExternalHMM>\r
  14 <BeginEmbeddedHMM>\r
  15 <NumStates> 3\r
  16 <State> 0\r
  17 <NumMixes> 3\r
  18 <Mixture> 0 <Weight> 0.292222\r
  19 <Mean>\r
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  21 <Inverted_Deviation>\r
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  23 <LogVarVal> 46.414398\r
  24 <Mixture> 1 <Weight> 0.255556\r
  25 <Mean>\r
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  27 <Inverted_Deviation>\r
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  29 <LogVarVal> 46.832676\r
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  31 <Mean>\r
  32 903.481567 5.292383 30.029484 29.997543 72.506142 17.533169 49.882065 17.007370 7.692874 \r
  33 <Inverted_Deviation>\r
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  35 <LogVarVal> 42.249809\r
  36 <State> 1\r
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  38 <Mixture> 0 <Weight> 0.537787\r
  39 <Mean>\r
  40 1125.725098 -53.498985 4.586558 -38.814667 14.576375 0.590631 66.513245 -8.346232 0.932790 \r
  41 <Inverted_Deviation>\r
  42 0.008130 0.010313 0.032231 0.004462 0.011228 0.031590 0.014856 0.020040 0.040581 \r
  43 <LogVarVal> 42.652790\r
  44 <Mixture> 1 <Weight> 0.148959\r
  45 <Mean>\r
  46 2086.419189 -99.727943 -16.669117 -96.750000 -30.433825 -9.264706 -79.367645 -6.316176 2.227941 \r
  47 <Inverted_Deviation>\r
  48 0.004081 0.010521 0.031981 0.006061 0.015278 0.034506 0.017077 0.036371 0.044607 \r
  49 <LogVarVal> 41.797367\r
  50 <Mixture> 2 <Weight> 0.313253\r
  51 <Mean>\r
  52 1513.979004 -107.377625 -5.548951 -312.744751 12.325174 11.863636 -12.391608 29.055944 1.751748 \r
  53 <Inverted_Deviation>\r
  54 0.004238 0.006941 0.020619 0.008335 0.012966 0.031050 0.009527 0.022627 0.031922 \r
  55 <LogVarVal> 43.958435\r
  56 <State> 2\r
  57 <NumMixes> 3\r
  58 <Mixture> 0 <Weight> 0.329746\r
  59 <Mean>\r
  60 1493.925781 -240.964386 28.145401 279.845703 -8.548962 -38.635014 27.922848 44.172108 0.246291 \r
  61 <Inverted_Deviation>\r
  62 0.003327 0.005915 0.012990 0.008736 0.008537 0.018735 0.012553 0.022356 0.025611 \r
  63 <LogVarVal> 45.655052\r
  64 <Mixture> 1 <Weight> 0.307241\r
  65 <Mean>\r
  66 1228.152832 115.500000 35.907642 -148.573257 -143.136948 23.824841 86.949043 -19.955414 -13.111465 \r
  67 <Inverted_Deviation>\r
  68 0.003884 0.004774 0.011939 0.003462 0.008616 0.012251 0.010876 0.013381 0.019053 \r
  69 <LogVarVal> 48.092522\r
  70 <Mixture> 2 <Weight> 0.363014\r
  71 <Mean>\r
  72 2103.649658 -35.142857 -47.048515 -13.644204 85.587601 9.415094 -47.940701 -13.784367 8.727762 \r
  73 <Inverted_Deviation>\r
  74 0.004671 0.004182 0.017663 0.003513 0.012753 0.017625 0.016203 0.021402 0.023645 \r
  75 <LogVarVal> 45.794128\r
  76 <TransP>\r
  77 -0.072571 -2.659260 -10000000000.000000 \r
  78 -10000000000.000000 -0.071500 -2.673601 \r
  79 -10000000000.000000 -10000000000.000000 0.000000 \r
  80 <EndEmbeddedHMM>\r
  81 <BeginEmbeddedHMM>\r
  82 <NumStates> 6\r
  83 <State> 0\r
  84 <NumMixes> 3\r
  85 <Mixture> 0 <Weight> 0.165529\r
  86 <Mean>\r
  87 1106.010254 270.546387 178.546387 90.216492 95.185562 -13.226804 22.515463 -2.041237 -20.000000 \r
  88 <Inverted_Deviation>\r
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  90 <LogVarVal> 46.158817\r
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  92 <Mean>\r
  93 878.302673 -88.931969 32.173470 -32.251701 36.877552 13.646258 6.397959 11.506803 0.442177 \r
  94 <Inverted_Deviation>\r
  95 0.009189 0.009866 0.018820 0.015695 0.016330 0.027325 0.042118 0.037025 0.042174 \r
  96 <LogVarVal> 39.930977\r
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  98 <Mean>\r
  99 1130.574341 -127.266670 -18.441027 -64.435898 -22.841026 11.312820 -15.687180 10.902564 11.082051 \r
 100 <Inverted_Deviation>\r
 101 0.007640 0.011055 0.017530 0.008617 0.018807 0.027113 0.034694 0.028276 0.045999 \r
 102 <LogVarVal> 40.915623\r
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 106 <Mean>\r
 107 1291.169678 -94.174110 2.750000 107.191971 -31.875002 -4.821429 0.941964 1.495536 -3.250000 \r
 108 <Inverted_Deviation>\r
 109 0.009389 0.015478 0.044627 0.006769 0.020211 0.057187 0.018441 0.041124 0.070711 \r
 110 <LogVarVal> 38.689072\r
 111 <Mixture> 1 <Weight> 0.330402\r
 112 <Mean>\r
 113 1582.327026 -95.410645 -9.908745 -34.596958 -17.372623 -0.547529 -36.114067 -1.676806 1.030418 \r
 114 <Inverted_Deviation>\r
 115 0.007440 0.012609 0.052045 0.007230 0.028892 0.058418 0.027290 0.040367 0.070711 \r
 116 <LogVarVal> 38.155067\r
 117 <Mixture> 2 <Weight> 0.388191\r
 118 <Mean>\r
 119 1080.042114 -7.482201 6.588997 49.514565 -20.330097 0.317152 16.058252 -3.368932 -0.055016 \r
 120 <Inverted_Deviation>\r
 121 0.011612 0.017683 0.065454 0.013077 0.029821 0.067133 0.015839 0.037355 0.070711 \r
 122 <LogVarVal> 37.000782\r
 123 <State> 2\r
 124 <NumMixes> 3\r
 125 <Mixture> 0 <Weight> 0.371891\r
 126 <Mean>\r
 127 1517.150513 -28.290970 -1.528428 253.508362 -14.448160 -2.371238 8.304348 0.314381 1.050167 \r
 128 <Inverted_Deviation>\r
 129 0.006703 0.010751 0.029818 0.009400 0.017080 0.044587 0.010576 0.025225 0.052345 \r
 130 <LogVarVal> 41.228107\r
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 132 <Mean>\r
 133 1814.030640 -37.487465 -1.947075 48.245125 -12.376044 4.089137 -30.980501 -6.662952 -1.459610 \r
 134 <Inverted_Deviation>\r
 135 0.009659 0.016780 0.033797 0.007275 0.018137 0.038313 0.018218 0.032646 0.052321 \r
 136 <LogVarVal> 39.838894\r
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 139 1233.226074 -20.232876 10.000000 134.150681 -5.835617 -0.815068 75.513695 -13.547945 -1.500000 \r
 140 <Inverted_Deviation>\r
 141 0.008693 0.009552 0.030572 0.009009 0.015590 0.032105 0.014927 0.034238 0.059825 \r
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 147 1656.570068 -127.682236 7.093458 323.140167 24.065420 -28.813084 5.074766 33.317757 -5.196261 \r
 148 <Inverted_Deviation>\r
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 150 <LogVarVal> 42.591515\r
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 153 2093.449707 -61.113537 -3.515284 82.310043 2.292577 -7.021834 -22.545853 3.585153 0.338428 \r
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 159 1341.042480 3.808511 -32.851063 11.425531 -9.319149 11.638297 61.829784 18.936169 -8.212766 \r
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 161 0.007318 0.005425 0.012872 0.009771 0.008322 0.011325 0.022921 0.016666 0.021484 \r
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 166 <Mean>\r
 167 2134.544434 93.565445 -54.109947 -31.350786 93.345551 -15.392671 -42.612564 7.340314 -3.136126 \r
 168 <Inverted_Deviation>\r
 169 0.005772 0.008168 0.028675 0.007675 0.018066 0.032905 0.024218 0.027043 0.044559 \r
 170 <LogVarVal> 41.404842\r
 171 <Mixture> 1 <Weight> 0.250646\r
 172 <Mean>\r
 173 1755.907104 -20.494844 -84.659790 115.484535 121.680412 -26.876287 -21.958763 13.340206 10.649485 \r
 174 <Inverted_Deviation>\r
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 176 <LogVarVal> 45.017555\r
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 179 1168.302979 -32.363636 17.484848 99.020203 -7.898990 -5.373737 38.484848 -3.363636 -1.111111 \r
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 181 0.005452 0.006371 0.015611 0.008749 0.016212 0.024429 0.012345 0.019271 0.031102 \r
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 185 <Mixture> 0 <Weight> 0.378065\r
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 187 1551.272949 368.423187 -47.075085 -115.699654 27.819111 58.546074 -16.293514 -25.191126 5.972696 \r
 188 <Inverted_Deviation>\r
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 193 1024.922852 82.440514 128.578781 -10.180064 -97.286171 15.083601 15.006431 -7.967845 -0.247588 \r
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 196 <LogVarVal> 44.650097\r
 197 <Mixture> 2 <Weight> 0.220645\r
 198 <Mean>\r
 199 1453.023438 -450.777771 104.859650 127.894737 -35.222221 -65.584793 4.093567 20.748539 -8.789474 \r
 200 <Inverted_Deviation>\r
 201 0.002754 0.006271 0.003992 0.012292 0.007154 0.009781 0.049298 0.038855 0.020290 \r
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 206 -10000000000.000000 -10000000000.000000 -0.115919 -2.212262 -10000000000.000000 -10000000000.000000 \r
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 209 -10000000000.000000 -10000000000.000000 -10000000000.000000 -10000000000.000000 -10000000000.000000 0.000000 \r
 210 <EndEmbeddedHMM>\r
 211 <BeginEmbeddedHMM>\r
 212 <NumStates> 6\r
 213 <State> 0\r
 214 <NumMixes> 3\r
 215 <Mixture> 0 <Weight> 0.090090\r
 216 <Mean>\r
 217 1100.799927 198.059998 186.360001 -10.900000 -7.840000 5.060000 -2.540000 -2.600000 0.640000 \r
 218 <Inverted_Deviation>\r
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 220 <LogVarVal> 39.035374\r
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 223 948.221252 -79.868080 24.382978 2.221277 -10.680851 -5.017021 -1.289362 0.685106 -0.489362 \r
 224 <Inverted_Deviation>\r
 225 0.013422 0.015107 0.019337 0.045102 0.038993 0.039349 0.070711 0.060282 0.070711 \r
 226 <LogVarVal> 35.285976\r
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 228 <Mean>\r
 229 1096.855591 -21.151852 -26.500000 -7.044444 12.766666 0.833333 -4.537037 0.440741 0.781481 \r
 230 <Inverted_Deviation>\r
 231 0.015562 0.015276 0.022927 0.033130 0.040942 0.065003 0.070711 0.070711 0.070711 \r
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 237 1003.891785 11.097517 7.489361 -14.604609 0.460993 0.640071 7.335106 -3.015957 -0.026596 \r
 238 <Inverted_Deviation>\r
 239 0.012049 0.020841 0.038552 0.014743 0.038421 0.043543 0.028497 0.043183 0.052029 \r
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 242 <Mean>\r
 243 1258.086548 -40.951923 4.144231 -72.096153 14.586539 4.307693 -20.067308 3.182693 -0.076923 \r
 244 <Inverted_Deviation>\r
 245 0.006739 0.025745 0.070711 0.013813 0.031807 0.061089 0.037398 0.056967 0.070711 \r
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 257 1114.872070 -54.639812 31.763035 -43.696686 14.426540 -11.000000 19.014219 -1.919431 0.023697 \r
 258 <Inverted_Deviation>\r
 259 0.009015 0.008130 0.015539 0.010880 0.012860 0.017747 0.025988 0.025324 0.030447 \r
 260 <LogVarVal> 42.560623\r
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 262 <Mean>\r
 263 1369.365967 -166.387222 65.229782 -46.608509 -2.595745 7.906383 -3.540425 8.812766 -5.821276 \r
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 268 <Mean>\r
 269 1721.463013 -336.234558 -127.481483 -49.969135 18.382717 -17.598766 -14.580247 17.253086 10.691359 \r
 270 <Inverted_Deviation>\r
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 276 <Mean>\r
 277 1612.192749 277.192749 -13.337349 -217.963852 26.596384 59.072289 -10.156626 -52.331322 3.518072 \r
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 279 0.004631 0.006015 0.005667 0.010356 0.006941 0.014002 0.016094 0.018329 0.015983 \r
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 283 1133.095459 95.879395 52.025124 -90.989952 -57.597988 -19.949749 46.834171 14.080401 -6.984924 \r
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 285 0.005539 0.006493 0.014144 0.006218 0.013951 0.019720 0.021654 0.022959 0.025928 \r
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 289 1979.912476 44.093750 -79.825005 -27.981251 64.412498 -21.962500 -48.812500 12.743751 0.931250 \r
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 291 0.007995 0.005496 0.006994 0.008150 0.010325 0.017928 0.021655 0.017788 0.026772 \r
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 296 <Mean>\r
 297 1191.338989 -127.080505 24.627119 -44.449154 14.343221 -6.245763 25.093220 -3.411017 0.762712 \r
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 299 0.004927 0.011624 0.020117 0.008097 0.020691 0.024988 0.011455 0.019390 0.024350 \r
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 301 <Mixture> 1 <Weight> 0.232964\r
 302 <Mean>\r
 303 1551.612183 -109.925171 26.537415 -200.068024 -28.013605 26.646257 -13.816326 18.789116 -7.455782 \r
 304 <Inverted_Deviation>\r
 305 0.007799 0.006315 0.021827 0.010169 0.014552 0.026136 0.013805 0.019584 0.029629 \r
 306 <LogVarVal> 43.092094\r
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