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隐MARKOV经典算法，也是通用算法，linux环境，可以移植到windows

Gaussian 03ChineseManual

Supervised Image Segmentation Using Markov Random Fields

SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.

This program reads iid zero-mean unit-variance Gaussian variates

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.

An adaptive Gaussian filter for noise reduction and edge detection

RANDVEC Generate gaussian random vectors X=(N,M,C)

In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states. The algorithm updates the formu ...

用MATLAB写的Gaussian Elimination算法即LU算法