搜索资源列表
statistic_pattern_reconnition_toolbox
- 模式识别中统计模式识别的方法,包括贝叶斯，统计学习，LDA，PCA，SVM的经典方法，是不可多得的算法的toolbox-pattern recognition statistical pattern recognition methods, including Bayesian statistics study, LDA, PCA, SVM classical method, the algorithm is rare in toolbox
new_bayescode2
- 一种新的贝叶斯算法代码，基于VC++环境编写的，很实用的哦
BLS-GSM_Denoising
- BLS-GSM 即\"Bayesian Least Squares - Gaussian Scale Mixture\".基于贝叶斯最小平方-高斯概率混合模型的算法。用于图像去噪。相关文献索引详见readme
bayesthresholding
- 基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS
动量梯度下降算法和贝叶斯正则化算法BP神经网络程序实例
- 动量梯度下降算法和贝叶斯正则化算法BP神经网络程序实例，可以直接运行。
BayesWaveletDenoise
- 上传的算法是基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法-From the algorithm is based on Bayesian (BAYES) wavelet threshold (WAVELET) image denoising algorithm
minipro
- 该系统功能：实现手写识别，能通过对样例库中的数据进行学习，然后能判别、分类新的输入样例。其中包含了Kn近邻算法，贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input
bayescode2
- 贝叶斯算法的有关matlab程序，大家可以参考一下-Bayesian algorithm matlab relevant procedures, we can refer to
beyesi
- 模式识别中的贝叶斯算法,是关于vc的编程 ,主要应用于图象处理-Bayesian pattern recognition algorithm, the programming is on the vc, mainly used in image processing
Bayes_Classify
- 基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
bayesthresholding2
- 本文实现基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法，相比较其它的小波去噪算法而言，效果非常好-This realization based on Bayesian (BAYES) Threshold the wavelet (WAVELET) image denoising algorithm, compared with other wavelet denoising algorithm, the effect was very good
fbmpCP
- 用于图像处理的压缩感知的快速贝叶斯匹配追击算法-Compressed sensing image processing for rapid Bayesian matching pursuit algorithm
Bayes-classifier
- 贝叶斯分类器，贝叶斯算法的matlab程序-Bayes classifier Bias algorithm procedure
Improved-Naive-Bayesian-classifier
- 对朴素贝叶斯算法的进一步改进。朴素贝叶斯分类器是一种简单而高效的分类器，但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关系，以及它的被动学习策略，影响了它的分类性能。本文从不同的角度出发，讨论并分析了三种改进朴素贝叶斯分类性能的方法。为进一步的研究打下坚实的基础-Naive Bayes algorithm further improved. Naive Bayes classifier is a simple and efficient classifier, but its attr
beiyesi
- 本算法是贝叶斯算法，比较详细，具体，希望对大家有帮助-This algorithm is a Bayesian algorithm, more detailed and specific, we want to help
NaiveBayes
- 贝叶斯算法，是最简单的算法。。本文件是java版本-It s is good
bayesClassifier
- 基于贝叶斯网络推理相关算法，处理灰度图像(Bias reasoning algorithm)
face-Bayes-GaussianNB
- 用贝叶斯中的高斯类库实现人脸识别，结合PCA算法实现(Face recognition using the Gauss class library in Bayes, combined with PCA algorithm)
face-Bayes-BernoulliNB
- 用贝叶斯中的努伯利类实现人脸识别，结合PACK算法实现(Bayesian face recognition in Nuboli, combined with PACK algorithm)
分割 (2)
- 图像分割是图像处理和计算机视觉的重要研究领域。通过贝叶斯算法应用于图像分割，利用其较好的寻优能力搜索到图像的最佳阈值，达到较好的图像分割效果，并拓展了算法的应用领域．针对图像在动态阈值选取难的问题(Image segmentation is an important research field of image processing and computer vision. The Bayesian algorithm is applied to image segmentation, the