首页> 美国政府科技报告 >Baum-Welch Algorithm for Noisy Vector Fields for Classification and Synthesis of Textures Using Non-Symmetric Half-Plane

【24h】

Baum-Welch Algorithm for Noisy Vector Fields for Classification and Synthesis of Textures Using Non-Symmetric Half-Plane

机译：基于非对称半平面的纹理分类与合成噪声向量场的Baum-Welch算法

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper we present a statistical model with a non-symmetric half-plane (NSHP) region of support for two-dimensional continuous-valued vector fields. It has the simplicity, efficiency, and ease of use of the well- known hidden Markov model (HMM) and associated Baum-Welch algorithms for time- series and other one-dimensional problems. At the same time, it is able to learn textures on a two-dimensional field. We describe a fast approximate forward procedure for computation of the joint probability density function (PDF) of the vector field as well as an approximate Baum-Welch algorithm for parameter re-estimation. We test the method using synthetic textures.

著录项

作者
Baggenstoss, P. M.;
展开▼
作者单位

展开▼
年度 2008
页码 p.1-6
总页数 6
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Mathematical models; Learning machines; Texture; Two dimensional; Eigenvectors; Rasters; Probability density functions; Statistical distributions; Pixels; Signal processing; Algorithms;

机译：数学模型;学习机;纹理;二维;特征向量;栅格;概率密度函数;统计分布;像素;信号处理;算法;

相似文献

外文文献
中文文献
专利

1. Two-Dimensional Hidden Markov Model for Classification of Continuous-Valued Noisy Vector Fields [J] . Baggenstoss Paul M. Aerospace and Electronic Systems, IEEE Transactions on . 2011,第2期

机译：用于连续值噪声矢量场分类的二维隐马尔可夫模型
2. Classification of linear and non-linear modulations using the Baum-Welch algorithm and MCMC methods [J] . Anchalee Puengnim, Nathalie Thomas, Jean-Yves Tourneret, Signal processing . 2010,第12期

机译：使用Baum-Welch算法和MCMC方法对线性和非线性调制进行分类
3. Scalable data parallel algorithms for texture synthesis using Gibbs random fields [J] . Bader D.A., JaJa J. IEEE Transactions on Image Processing . 1995,第10期

机译：使用Gibbs随机场的可扩展数据并行算法用于纹理合成
4. Comparison Between Genetic Algorithms and the Baum-Welch Algorithm in Learning HMMs for Human Activity Classification [C] . Oscar Perez, Massimo Piccardi, Jesus Garcia, Applications of Evolutionary Computing; Lecture Notes in Computer Science; 4448 . 2007

机译：遗传算法与Baum-Welch算法在人类活动分类学习HMM中的比较
5. Unsupervised segmentation of noisy and textured images modeled by Markov random fields. [D] . Gregoriou, Georghios Kyriacos. 1992

机译：由Markov随机场建模的噪点和纹理图像的无监督分割。
6. Automated condition-invariable neurite segmentation and synapse classification using textural analysis-based machine-learning algorithms [O] . Umasankar Kandaswamy, Ziv Rotman, Dana Watt, -1

机译：使用基于纹理分析的机器学习算法自动化条件不变的神经元分段和突触分类
7. A BAUM-WELCH ALGORITHM FOR NOISY VECTOR FIELDS FOR CLASSIFICATION AND SYNTHESIS OF TEXTURES USING NON-SYMMETRIC HALF-PLANE [O] . Paul M. Baggenstoss 2009

机译：用于使用非对称半平面分类和合成纹理的噪声矢量场的BaUm-WELCH算法

Baum-Welch Algorithm for Noisy Vector Fields for Classification and Synthesis of Textures Using Non-Symmetric Half-Plane

摘要

著录项

相似文献

相关主题

期刊订阅