1) Markov family model
马尔可夫族模型
1.
In order to overcome the defects of the duration modeling of homogeneous hidden Markov model(HMM)in speech recognition and the unrealistic assumption that successive observations are independent and identically distribution within a state,Markov family model(MFM)was proposed.
针对隐马尔可夫(HMM)语音识别模型状态输出独立同分布等与语音实际特性不够协调的假设以及在使用段长信息时存在的缺陷,对隐马尔可夫模型进行改进,提出马尔可夫族模型。
2) Markov chain model
马尔可夫链模型
1.
Application of Markov Chain Model for Software Reliability Testing;
马尔可夫链模型在软件可靠性测试中的应用
2.
Performance analysis and optimization of EWMA control chart based on Markov chain model;
基于马尔可夫链模型的EWMA控制图性能分析与优化
3.
The Markov Chain Model for the Teaching Quality Evaluation;
教学质量评价的马尔可夫链模型
3) Hidden Markov Model
隐马尔可夫模型
1.
Theory of hidden Markov modeling and its implementation;
隐马尔可夫模型的原理与实现
2.
Ontology mapping based on hidden Markov model;
基于隐马尔可夫模型的本体映射(英文)
3.
An Algorithm of Human Face Recognition Based on Hidden Markov Model;
一种基于隐马尔可夫模型的人像识别算法
4) Markov model
马尔可夫模型
1.
Decision Analysis for Repairing of Equipment Changing Parts Repair Based on Markov Model;
基于马尔可夫模型的装备换件修理决策分析
2.
Application of Markov model in real-time evaluation of VoIP speech quality;
马尔可夫模型在VoIP通话质量实时评估中的应用
3.
Steganalysis based on Markov model and SVM for JPEG images;
基于马尔可夫模型和支持向量机的JPEG图像隐写分析
5) HMM
隐马尔可夫模型
1.
Visual Speech Synthesis Based on Two-level HMM;
基于两层隐马尔可夫模型的可视语音合成
2.
A New Active Contour Model Based on Fuzzy and HMM;
基于Fuzzy的隐马尔可夫模型主动轮廓线模型
3.
Study of Isolated Word Recognition Based on HMM;
基于隐马尔可夫模型的语音单字识别研究
6) Hidden Markov model(HMM)
隐马尔可夫模型
1.
A novel approach for localizing objects with the linearly two-dimensional structure is presented based on hidden Markov model(HMM).
以医学图像中脊柱的定位为应用背景,对经典Viterbi算法进行改进,根据全局最优搜索算法提出了可控的最优搜索算法,把隐马尔可夫模型(Hidden Markov model,HMM)应用于二维图像中线性结构对象的定位。
2.
This paper proposes a recognition algorithm to the eyes states based on ICA and Hidden Markov Model(HMM).
提出了一种ICA结合隐马尔可夫模型(HMM)识别眼部状态的识别算法,首先对彩色图像进行二值化处理,然后利用ICA算法进行眼部状态特征提取,为了加快特征提取的速度,这里采用FastICA算法;然后通过HMM进行眼部状态识别。
3.
Considering that browse route,browse time,browse times and so on are the important factors to influence the accuracy of commendation,a dynamic collaboration filtering recommendation method based on Hidden Markov Model(HMM) was proposed.
考虑到用户浏览路径、时间、浏览次数都是影响推荐准确度的重要因素,提出一种基于隐马尔可夫模型(HMM)的动态协同过滤推荐方法。
补充资料：马尔可夫链模型
见数理社会学。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条