搜索资源列表
www
- 用来实现隐马尔科夫树的分类，已运行过，绝对可用-wavelet domain hidden Markov models
facial-expression-recognition-using.ps
- In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which has been successfully used for the classification of images and t
CodeAComparativeStudyofEnergyMinimizationMethods.r
- 是文章Code A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors的完全代码实现-it is the implementation of paper:Code A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness
MarkovModel
- 爱情的隐式马尔可夫模型 ImplicitloveMarkovModel-Implicit love Markov Model
detectormathematical
- 基于隐马尔可夫模型的火焰检测 火焰检测数学模型-Hidden Markov Model-based flame detector flame detector mathematical model
HMMFL
- 隐马尔可夫模型代码，供初学者参考、学习。里面有一个PPT。-Hidden Markov Model code reference for beginners to learn. Inside there is a PPT.
287195364HMM
- 隐马尔可夫模型代码，供初学者学习、参考。里面有一个PPT。-Hidden Markov Model code for beginners to learn, reference. Inside there is a PPT.
hmms
- 本文详细噪声补偿的隐马尔可夫模型，并指出了它在信号处理中的应用，对未来提出了展望。-In this paper, the noise compensation for hidden Markov model, and pointed out that its signal processing applications, the outlook for the future.
JAG3Dv
- JAG3D is a simple tool to estimate a local geodetical 3d-net by a least-square-adjustment (LSA) called Gauß -Markov-Model (GMM). The software calculates coordinates from raw-data e.g. slopedistance, directions, azimuth-angles and/or zenith-angle
emc
- 此源码可用与隐马氏模型估计参数时的EM算法。此源码在C++中运行。-This source can be estimated with the Hidden Markov Model parameters of the EM algorithm. This source code in C++ in the running.
458_kutuphane
- queueing network and markov chai,ns problem protgram
rwtwinxp
- The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly with our Matlab code for wavelet
asr2000
- Hidden Markov Models (HMMs) are a popular approach for speech recognition. Commonly, a left-to-right Markov chain topology is used, where each phoneme is represented by a sequence of states (typically three) [
HMMtoolbox
- hidden Markov model toolbox
imdict-chinese-analyzer
- imdict-chinese-analyzer 是 imdict智能词典 的智能中文分词模块，算法基于隐马尔科夫模型(Hidden Markov Model, HMM)，是中国科学院计算技术研究所的ictclas中文分词程序的重新实现（基于Java），可以直接为lucene搜索引擎提供简体中文分词支持。-imdict-chinese-analyzer is a smart imdict Chinese Dictionary smart module segmentation algorithm
icpr2008_hsmm
- On Efficient Viterbi Decoding for Hidden semi-Markov Models
HMM
- ：为了使应力变异在顽健语音识别系统中能够达到较好的识别效果，研究了基于隐马 尔可夫模型(HMM)的自适应技术，提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用 于应力变异语音的自适应中。实验结果表明，与基本系统相比，两种方法均有效地提高系统识别 率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。-: In order to stress variation in the robustness of speech recogni
HTS-2.1_for_HTK-3.4
- HTS version 2.1 includes hidden semi-Markov model (HSMM) training/adaptation/synthesis, speech parameter generation algorithm considering global variance (GV), SMAPLR/CSMAPLR adaptation, and other minor new features.
HiddenMarkovModelToolbox
- Hidden Markov Model Toolbox Hidden Markov Model Toolbox
hmm_unit_merge(hiddenMRF)
- Improved Estimation of Hidden Markov Model Parameters from Multiple Observation Sequences