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Description: 脱机手写体识别Matlab源程序
包括特征提取、bayes分类器、K近邻分类及最近邻分类。
TestScriptRecognition.m:测试代码
ScriptFeaExtract.m :特征提取
KNearestEstimate.m :K近邻估计
NearestEstimate.m : 最近邻估计
BayesTrain.m :训练bayes分类器
Bayes.m :测试bayes分类器
CrossValidate.m :m交叉验证
-Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification
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Size: 6683 |
Author: KOF |
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Description: bayes树的针对生物数据剪接位点识别的实现算法,caculateTAN.m为主函数文件,希望对大家有用
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Size: 1707293 |
Author: 郑敏 |
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Description: The VB BCS codes implemented by MatLab 7.0 are included in this package.
BCSvb.m: VB BCS code
demo_BCSvb_1d.m: example of a 1-dimensional signal
demo_BCSvb_2d.m: example of a 2-dimensional image: 128x128 image 'cameraman'
demo_BCSvb_2d_small.m: example of a 2-dimensional small image: 32x32 image 'indor2'
cameraman.pgm, indor2.pgm: images used by 2-dimensional examples.
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Lihan He, ECE, Duke University
Created: Dec. 9, 2008
Last updated: Mar. 3, 2009, allowing [] as input arguments
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Size: 92609 |
Author: 1193072669@qq.com |
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Description: Bayesian Surprise Toolkit for Matlab
T. Nathan Mundhenk, Laurent Itti-Bayesian Surprise Toolkit for Matlab T. Na than Mundhenk, Laurent Itti
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Size: 94208 |
Author: |
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Description: kfdemo.m is a Matlab script file to run a demonstration of the
Bayesian Kalman filter.-kfdemo.m Matlab is a script file to run a dem onstration of the Bayesian Kalman filter.
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Size: 8192 |
Author: 驿帆 |
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Description: 脱机手写体识别Matlab源程序
包括特征提取、bayes分类器、K近邻分类及最近邻分类。
TestScriptRecognition.m:测试代码
ScriptFeaExtract.m :特征提取
KNearestEstimate.m :K近邻估计
NearestEstimate.m : 最近邻估计
BayesTrain.m :训练bayes分类器
Bayes.m :测试bayes分类器
CrossValidate.m :m交叉验证
-Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification
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Size: 6144 |
Author: |
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Description: bayes树的针对生物数据剪接位点识别的实现算法,caculateTAN.m为主函数文件,希望对大家有用-Bayes tree biological data for splice site recognition algorithm, caculateTAN.m the main function of a document, in the hope that useful to everybody
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Size: 1707008 |
Author: 郑敏 |
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Description: 主要内容:
【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序-err
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Size: 17408 |
Author: jintong |
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Description: 随机序列产生程序、白噪声产生程序、M序列产生程序、Bayes辨识算法程序-system identification
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Size: 517120 |
Author: 宋程 |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program
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Size: 7168 |
Author: jshuska |
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Description: 《数字图像处理》源码
部分函数列表
bayesgauss - Bayes classifier for Gaussian patterns.
bound2eight - Convert 4-connected boundary to 8-connected.
bound2four - Convert 8-connected boundary to 4-connected.
bound2im - Convert boundary to image.
boundaries - Trace region boundaries.
bsubsamp - Subsample a boundary.
colorgrad - Vector gradient of RGB image.
colorseg - Segment a color image.
connectpoly - Connect vertices of polygon.
diameter - Measure diameter of image regions.
-" Digital image processing," sourceing
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Size: 150528 |
Author: hsj |
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Description: 贝叶斯算法 包括了朴素贝叶斯和M估计 对有零的情况的处理-Naive Bayes algorithm, including the estimated Bayes and M
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Size: 137216 |
Author: lijinghui |
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Description: 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中,我们采用两种训练方法,即 L-M 优化算法(trainlm)和贝叶斯正
则化算法(trainbr),用以训练 BP 网络,使其能够拟合某一附加有白噪声的正弦样本数据。-Use Bayes to train BP network
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Size: 1024 |
Author: 肖木 |
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Description: 提出了一种基于非下采样 Contourlet变换 ( NSCT)和马尔科夫随机场 (MRF)相结合的纹理图像分割算法。算法包括两
个步骤, 首先通过 NSCT实现对图像纹理特征的提取, 并使用模糊 C-均值完成对图像的初始分割 然后将初始分割结果用 MRF模型
表示, 通过贝叶斯置信传播得到图像的最终分割结果。实验结果表明, 对于纹理图像,该方法在分割错误率、 区域一致性以及边缘的
准确性方面都比传统小波变换的方法有了明显的改善。-A tex ture i m age seg m entation a l go rithm based on comb i nati on of non-down sa m pling Contourlet transfor m ( NSCT) andM arkov
rando m fi e l d model is proposed . The algorithm consists o f t wo steps . F ir st , the tex t u re f ea t ure of i m ag e is ex trac ted by NS CT, and the i m age
is seg m ented i n itia lly by fuzzy c- m eans Second , the pr i m aril y seg m ented results are expressed byMRF mode, l and the fi nal seg m entati on re-
s u lts are ga i ned v i a Bayes beli e f propag ati on . The exper i menta l resu lts show tha t this a l gor it hm is effecti ve fo r tex t ure i m age , it prov i desm uch
better res u lts i n erro r ra te o f segm enta tion , reg ion ho m ogene ity and edge accuracy than tho se of trad iti onal w ave let transf o r m ing m ethods
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Size: 216064 |
Author: jjdjjf |
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Description: 在贝叶斯分类中,用极大似然估计法估计概率分布的均值和方差-Compute the maximum-likelihood estimate of the mean and covariance matrix of each class and then uses the results to construct the Bayes decision region. This classifier works well if the classes are uni-modal, even when they are not linearly seperable.
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Size: 1024 |
Author: Eric chen |
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Description: 贝叶斯回归分析,以二维图像线性拟合为例,解决过度拟合问题-Bayes regression
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Size: 1024 |
Author: 考否给 |
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Description: 本程序主要实现了基于贝叶斯分类的手写数字识别。
1、主程序为recognition.m,运行程序只需打开recognition.m文件运行即可
2、byes算法程序分别在bayes_erzhi.m文件、bayes_leasterror.m文件和bayesleastrisk.m文件中,分别对应着基于二值数据的bayes法的算法和基于最小错误的bayes法的算法和基于最小风险的贝叶斯分类器。
-The program achieved a handwritten numeral recognition based on Bayesian classification. 1, the main program is recognition.m, simply open recognition.m file to run the program can be run 2, byes algorithm respectively bayes_erzhi.m file, bayes_leasterror.m files and bayesleastrisk.m files, corresponding to a value based on two algorithms and data bayes method based on the minimum error of law bayes algorithms and minimum risk-based Bayesian classifier.
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Size: 332800 |
Author: 严娟 |
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Description: Bayesian formulation
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Size: 3072 |
Author: Mustafa |
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Description: I use Matlab 2008a which does not support Naive Bayes Classifier. Script supports normal and kernel distributions. Statistics toolbox for 2008a version is used in the script. Also includes function for confusionmat
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Size: 1024 |
Author: lin |
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Description: Bayes分类器,对随机产生的1000组数据进行分类,模式识别课作业(Bayes classifiation.m)
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Size: 1024 |
Author: wangwanghuanhuan
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