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matlab-hmm's Introduction

THIS IS AN OPEN SOURCE HMM TOOLBOX. IT IS FREE FOR INDIVIDUALS & RESEARCH. 
IF YOU ARE USING IT FOR COMMERCIAL USE, PLEASE CONTACT THE AUTHOR. 
AUTHOR: QIUQIANG KONG
CONTACT: [email protected]
CREATE: 25-11-2015
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Usage:
2. run test_hmm.m

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1. Providing Multinominal-HMM, Gaussian-HMM, GMM-HMM. 
2. Underflow problem has been solved by applying log and normalization. 

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matlab-hmm's Issues

隐马尔可夫模型

您好,是这样的,我看到了您的工具箱,冒昧的打扰您一下,因为我最近在研究HMM
我遇到了下面问题
1.连续型隐马尔可夫(CHMM)中 我的观测序列是4维的,这个到底是多观测序列,还是一个观测序列啊
2.对于多维数据,进行kmeans聚类,以及求取前向后向算法,这个具体该怎么对应,能否向您请教请教
麻烦您了!
Hello, yes, i saw your toolbox, take the liberty of bothering you because i recently studied HMM
I have encountered the following questions

  1. The Continuous Hidden Markov (CHMM) in my observation sequence is 4-dimensional, this in the end is a multi-observation sequence, or an observation sequence ah
  2. For multidimensional data, kmeans clustering, and seeking forward backward algorithm, the specific how the corresponding, whether to ask you to ask

GMM-HMM (Cross-validation)

Dear Mr.Qiuqiang Kong,

I would like to do Cross Validation to choose the best parameters such as # of states and # of observation.
-My data is 9 dimensions because 3 for camera data and 6 for IMU dataset. is it possible to use more than 2 dimensions dataset?
-how can i use the test dataset in your code, did you provide the code or i should write by myself?
thanks in advance.

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