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A Bayesian Approach to Digital Matting
- 贝叶斯抠图过程的中文解释，详细说明贝叶斯抠图的过程原理
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
supplementaryFigures
- 叙述了多种matting算法 包括贝叶斯 泊松 closed-form spectral matting等-Described a variety of matting algorithm including the Bayesian Poisson closed-form spectral matting on, etc.
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
SPEECHMUSICDISCRIMINATION
- SPEECH/MUSIC DISCRIMINATION FOR RADIO BROADCASTS USING A HYBRID HMM-BAYESIAN NETWORK ARCHITECTURE
BCS
- 压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。 -Compressive sens
Welch_2006_Filter
- The Kalman filter30 is a minimum-variance filter in which time-series measurements are incorporated recursively into estimates of state variables it is the optimal, Bayesian least-squares estimator for linear dynamic systems.-dd
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.
CBIR
- Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval, Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network,CONTENT BASED IMAGE RETRIEVAL,Relevance Feedback,A survey of browsing models for content based
bayes
- 贝叶斯决策理论：根据先验概率、类分布密度函数以及后验概率这些量来实现分类决策的方法.最小错误率的贝叶斯决策：根据一个事物后验概率最大作为分类依据的决策 -Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to a
1
- bayesian sequential state estimation for mimo wireless communications
BayesianImageSuperResolution
- 基于贝叶斯估计的图像超分辨率重建文档，比较经典的一种方法-Bayesian Image Super-Resolution
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.
2
- 多特征信息融合的贝叶斯网络故障诊断方法研究-Multi-feature information fusion fault diagnosis method of Bayesian networks
bayesreserh
- 贝叶斯网络结构学习及其在数据挖掘中的应用研究 一篇非常不错的博士论文-Bayesian Network Structure Learning and Its Application in Data Mining of a very good dissertation
beiyesipanduan
- 判别贝叶斯网络的学习算法及其应用研究 优秀硕士论文-Bayesian network learning algorithm identification and application of best master' s thesis
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
BCS-in-WSN
- 无线传感网络中，压缩感知数据恢复的一种贝叶斯分析，也许能用于分布式压缩感知-Wireless sensor networks, compressed sensing data recovery of a Bayesian analysis, may be used for distributed compressed sensing