搜索资源列表
regnize
- 实现0-9个手写数字的识别 使用了多种方法：最近邻、势函数、神经网络、贝叶斯分类器-To achieve recognition handwritten digits 0-9 using a variety of methods: the nearest neighbor, potential function, neural networks, Bayesian classifier
VC_technology_based_Image_pattern_recognition
- 图像模式识别-VC++技术实现的源码程序，遗传算法、圣经网络、贝叶斯等先进算法的源代码，VC++可编译文件。-Image pattern recognition technology-VC++ source program, genetic algorithm, the Bible networks, Bayesian and other advanced algorithms source code, VC++ to compile the file
Pattern-Recognition-ppt
- 介绍模式识别的基本概念，详述了贝叶斯，参数估计，线性分类器，神经网络，随机方法，无监督学习与聚类等-Introduce the basic concepts of pattern recognition, Bayesian detailed, parameter estimation, linear classifiers, neural networks, stochastic methods, unsupervised learning and clustering, etc.
pattern-recognition
- 模式识别的内容，包括模式识别的基本概念、模式识别方法及应用。具体的内容包括：正则化网络、Bayes决策理论、分类器组合、统计学习理论、概率密度估计、非监督学习方法-Pattern recognition, including the basic concepts of pattern recognition, pattern recognition methods and applications.Specific content, including: Regularization Netwo
bayesian_kmeans_bp
- 贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
NETLAB-algorithms-for-PR
- NETLAB algorithms for PR+书籍代码。学习模式识别的很好的老外书籍。基础模型很多，代码很细致，有很多算法的实现细节，对于应用很有帮助，-chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems.