<p>Hi rcurtln,</p>
<p>Sorry for the late reply.<br>
Here's the training set I used in the beginning.<br>
data.txt is the file that contains all other observation sequences. And other files contain three or four normalized observations with 6 DOF.</p>
<p>"data.txt"<br>
data11.txt<br>
data21.txt<br>
data31.txt<br>
data41.txt<br>
data51.txt</p>
<p>"data11.txt"<br>
1.407188 -0.825524 -0.581664 1.330260 -0.249431 -1.080829<br>
1.064666 0.273809 -1.338475 -1.414204 0.702534 0.711669<br>
1.118510 0.190213 -1.308723 -0.978695 1.373439 -0.394744</p>
<p>"data21.txt"<br>
1.413624 -0.742167 -0.671457 1.393726 -0.489149 -0.904577<br>
1.414185 -0.699330 -0.714855 1.414114 -0.721602 -0.692512<br>
1.413064 -0.755915 -0.657149 -1.414117 0.721405 0.692712</p>
<p>"data31.txt"<br>
1.731182 -0.618199 -0.529350 -0.583632 1.604384 0.056298<br>
-0.682269 -0.978413 1.210370 0.761583 -0.912841 -1.059112<br>
-0.443458 1.726382 -0.642271 -0.640653 1.157285 0.828081<br>
-0.947201 -1.038165 -0.964568 -1.034804 1.004618 0.994753</p>
<p>"data41.txt"<br>
1.731235 -0.530060 -0.585568 -0.615607 1.636155 -0.075307<br>
-0.557711 -1.003137 1.190107 0.789548 -0.970546 -1.009108<br>
-0.423812 1.724491 -0.632598 -0.668081 1.092094 0.901500<br>
-0.935888 -1.057706 -0.977638 -1.011645 0.849429 1.139854</p>
<p>"data51.txt"<br>
1.715604 -0.348052 -0.699034 -0.668518 1.633409 -0.045010<br>
-0.609211 -0.979189 1.245627 0.717635 -0.925878 -1.037384<br>
1.496415 0.177980 -0.432682 -1.241713 1.319591 0.616885<br>
-1.007997 -0.928479 -0.970147 -1.026679 0.923957 1.072869</p>
<p>The output is as follows:<br>
[INFO ] Reading list of training sequences from 'data.txt'.<br>
[INFO ] Adding training sequence from 'data11.txt'.<br>
[INFO ] Loading 'data11.txt' as raw ASCII formatted data. Size is 6 x 3.<br>
[INFO ] Adding training sequence from 'data21.txt'.<br>
[INFO ] Loading 'data21.txt' as raw ASCII formatted data. Size is 6 x 3.<br>
[INFO ] Adding training sequence from 'data31.txt'.<br>
[INFO ] Loading 'data31.txt' as raw ASCII formatted data. Size is 6 x 4.<br>
[INFO ] Adding training sequence from 'data41.txt'.<br>
[INFO ] Loading 'data41.txt' as raw ASCII formatted data. Size is 6 x 4.<br>
[INFO ] Adding training sequence from 'data51.txt'.<br>
[INFO ] Loading 'data51.txt' as raw ASCII formatted data. Size is 6 x 4.<br>
[INFO ] <br>
[INFO ] Execution parameters:<br>
[INFO ] batch: true<br>
[INFO ] gaussians: 0<br>
[INFO ] help: false<br>
[INFO ] info: ""<br>
[INFO ] input_file: data.txt<br>
[INFO ] labels_file: ""<br>
[INFO ] model_file: ""<br>
[INFO ] output_model_file: dataout.xml<br>
[INFO ] seed: 0<br>
[INFO ] states: 6<br>
[INFO ] tolerance: 1e-05<br>
[INFO ] type: gaussian<br>
[INFO ] verbose: true<br>
[INFO ] version: false<br>
[INFO ] <br>
[INFO ] Program timers:<br>
[INFO ] loading_data: 0.000880s<br>
[INFO ] total_time: 0.062300s</p>
<p>Then I used one file contains a list of datas:<br>
-0.049332,0.632684,1.930238<br>
-0.045342,0.653824,1.949537<br>
0.223055,0.607684,1.885569<br>
0.456205,0.482629,1.495054<br>
0.62325,0.454105,1.333082<br>
0.740229,0.468617,1.399701<br>
0.758242,0.476387,1.570806<br>
0.772725,0.504061,1.601133<br>
0.799275,0.537727,1.666062<br>
0.872294,0.580186,1.646654<br>
0.889642,0.612556,1.607951<br>
0.835107,0.669644,1.528674<br>
0.704884,0.683599,1.427598<br>
0.736671,0.727499,1.386765<br>
0.875919,0.762281,1.269978<br>
0.974008,0.842077,0.490348<br>
1.041494,0.898995,0.123952<br>
1.061031,0.943553,0.208335<br>
0.960244,0.917036,1.008331<br>
0.54015,0.698827,1.148918<br>
0.350406,0.631777,1.10327<br>
0.242643,0.615209,1.044297<br>
0.238878,0.624707,1.015939<br>
0.336262,0.713242,1.063636<br>
0.743459,0.792901,1.232002<br>
1.005647,0.869002,1.491689<br>
1.205512,0.929804,1.472736<br>
1.149689,0.895766,1.373127<br>
1.059189,0.759632,1.278505<br>
0.978293,0.743314,1.199621<br>
0.917716,0.755696,1.180213<br>
0.686448,0.741106,1.228388<br>
0.576865,0.679422,1.248577<br>
0.574938,0.675374,1.475239<br>
0.62893,0.690035,1.629235<br>
0.699362,0.786216,1.768085<br>
0.695823,0.876179,1.723242<br>
0.509356,0.969935,1.704582</p>
<p>or discrete datas:<br>
1<br>
7<br>
8<br>
9<br>
4<br>
3<br>
1<br>
7<br>
8<br>
9<br>
4<br>
3<br>
1<br>
7<br>
8<br>
9<br>
4<br>
3</p>
<p>The output of the program is the same and the result models turn out to be similar: uniform matrix and weird emissions.<br>
Thank you.</p>
<p>Jinqiang</p>
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