搜索资源列表
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
Bayesian
- This document contains the details about Bayesian Learning. It can be very useful for Computer vision and adaptive system implementations
bayes
- 贝叶斯网络学习参考资料，有详细的说明和讲解-Bayesian network learning references, contains a detailed descr iption and explain the
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
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
Investigation_on_Model_Selection_Criteria_for_Spe
- Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Pa
bayes
- 机器学习中关于贝叶斯公式和全概率公式的PPT讲解 很全面细致-Bayesian machine learning on the total probability formula and the formula is very comprehensive and detailed explanation of PPT
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 ,
Fergus-Perona
- We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al
HGPS1
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法-A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data
ICA2171
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
icccn04
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
icda-7-6
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
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
Image-reconstruction_CS
- 合稀疏贝叶斯学习(SBL)和可压缩传感理论(CS)，给出一种在噪声测量条件下重建可压缩图像的方法。该方法将cS理论中图像重建过程看作一个线性回归问题，而待重建的图像是该回归模型巾的未知权值参数；利用sBL方法对权值赋予确定的先验条件概率分布用以限制模型的复杂度，并引入超参数- Hop sparse Bayesian learning ( SBL ) and compressible sensing theory ( CS ) , give a compressible image recon
Bayesian-Reasoning-and-Machine-Learning.pdf
- Bayesian Reasoning and Machine Learning
Modelling-Functional
- 相关向量机用于分类，可用于稀疏贝叶斯学习的研究，文章内含有RVM代码-Relevance vector machine for classification, can be used to study the sparse Bayesian learning, the article contains RVM code
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