搜索资源列表
mcl
- 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of probabilistic lo
Video_Image_Segmentation_Based
- 为了对光线变化的图像进行顺利侵害，提出了一 种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点 处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach t
Discriminantanalysisandclusteranalysis
- 本文档包括了对软件中用到的多元统计分析中判别分析与聚类分析的主要方法(包括距离判别分析,费希尔判别分析,贝叶斯判别分析,逐步判别分析及聚类分析)原理及在本软件中使用的基本方法与设计流程图进行了详尽的阐释,在通过本文档的阅读对软件有一个总体的了解后再确定您要使用的分析方法-This document includes the software used in multivariate statistical analysis of discriminant analysis and cluster
A_Tutoria_on_Particle_Filters_for_Online_Nonlinea
- "A Tutorial on Particle Filters for Online Nonlinear Non-Gaussian Bayesian Tracking" This is a paper about tracking by particle filter. This is very useful.
YDD_ICCV05_HPF
- "Bayesian Mean Shift Face Tracker" This is a paper about tracking by particle filter. This is very useful.
bys
- 基于贝叶斯网络的图像分割技术，非常实用的哦-Image segmentation based on Bayesian network technology
Bayesian
- 一个关于Bayesian Networks的教程。作者David HeckerMann，英文版-A Tutorial On Learning with Bayesian Networks. Author: David HeckerMann. English version
moshishibie
- 模式识别的讲义，本文介绍了基于贝叶斯判决准则的模式识别方法。-Recognition of the lectures, this paper Bayesian decision criteria based on pattern recognition.
face-detection-based-on--YUV
- ：根据肤色色度的分配比例，提出了一种改进YCbCr 的Bayesian 肤色检测方法，在肤色背景下，利用肤色和唇色在YUV 空 间分布特点，变换YUV 空间的坐标轴，增大唇色和肤色V 分量上的差异。提取了唇色的质心和旋转方向，根据人脸几何特征的先 验知识建立人脸定位模型。实验表明在改进的颜色空间内，肤色投影到CrCg 平面内得到更好的聚类效果。唇色定位人脸算法简 单，速度快，更具实效性，对旋转的人脸同样有效。-the files for the face recognization
Bayesian_compressive_sensing
- 贝叶斯压缩感知算法的经典文献，相关研究必看-Bayesian algorithm for compressed sensing of the classic literature, relevant research must see
Bayesian-network-mode-search
- 基于贝叶斯网络模型的用户兴趣联合推送，分析了用户兴趣模型的优势-Bayesian network model based on user interest joint push, analysis of the advantages of user interest model
Bayesian-learning-theory
- 贝叶斯学习理论使用概率去表示所有形式的不确定性，学习和推理都通过概率规则来实现。-Bayesian learning theory using the probability that all forms of uncertainty, learning and reasoning by probability rules . Bayesian learning , the results of the probability distribution of random variables ,
HECKERMAN.-A-Tutorial-on-Learning-Bayesian-Networ
- A Tutorial on Learning Bayesian Networks
Dynamic-Bayesian-Networks-Representation--Inferen
- Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy
Dynamic-Bayesian-Networks-for-Audio-Visual
- Dynamic Bayesian Networks for Audio-Visual
Bayesian-Inference-Based-Recdation-(1)-(1)
- In this paper, we propose a Bayesian inference-based recommendation system for online social networks. In our system,users share their content ratings with friends. The rating similarity between a pair of friends is measured by a set of conditional p
Bayesian-classifier
- 本实验基于贝叶斯分类器对采集的微博数据进行情感分析，从中提取出不同的情感类别。-In this study, Bayesian classifier based on the micro-blog sentiment analysis data were collected, extracted from different emotional categories.
Bayesian-Vector-Autoregression-using-Bayesian-est
- Bayesian Vector Autoregression using Bayesian estimation method
bayesian-learning
- 贝叶斯学习和强化学习相结合，其中包含贝叶斯Q学习-bayesian learning combined with reinforcement learning
bayesian-network
- 贝叶斯网络可以与深度学习联合使用，也可以用于推理-bayesian network