1. Their derived mean and covariance to train theta 2. Their derived mean and covariance to run Viterbi 3. When push theta Gradient Descent: Learing Rate: 0.000001 GD iter: 50 iteration 4.Scaler: 1/260

ReadMe.txt
feature.txt
fuck.txt
HMMtraining(五人train).txt
HMMtraining.txt
HMMtraining_1_15.txt
HMMtraining_one_model_15p.txt
參數說明.txt
~$ainBase.h
DEFINE.h
ENGINE.H
LDA.h
MATRIX.H
Parser.h
Resource.h
S_StartEnd.h
StartEnd.h
StdAfx.h
TMWTYPES.H
TrainBase.h
TrainImageHMM.h
VQ.h
LDA.cpp
Parser.cpp
S_StartEnd.cpp
StartEnd.cpp
StdAfx.cpp
TrainBase.cpp
TrainImageHMM.cpp
VQ.cpp
HMMtraining.txt.bak
libeng.lib
libmat.lib
libmx.lib
TrainImageHMM.aps
TrainImageHMM.clw
Thumbs.db
TrainImageHMM.dsp
TrainImageHMM.dsw
icon1.ico
TrainImageHMM.ncb
TrainImageHMM.opt
TrainImageHMM.plg
TrainImageHMM.rc

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