搜索资源列表
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matlab有优化处理问题，是模式识别等机器学习的关键-There matlab optimization problems is the key to pattern recognition and other machine learning
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香蕉形(banana)标准数据集，用于测试机器学习与模式识别算法。-Banana-shaped standard data set for testing machine learning and pattern recognition algorithm.
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an image analysis set of codes to help you in understanding probabilistic image analysis for pattern recognition , machine learning and computer vision research works
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to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate-to help in computer vision ,pattern recognition and machine learning research for gr
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to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate-to help in computer vision ,pattern recognition and machine learning research for gr
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to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate-to help in computer vision ,pattern recognition and machine learning research for gr
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to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate-to help in computer vision ,pattern recognition and machine learning research for gr
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流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。-Manifold learning in recent years the field of machi
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机器学习和模式识别的常用算法，独立主元分析，常用于人脸图像识别。此压缩包含有完整的用于人脸图像的算法源码-Commonly used machine learning and pattern recognition algorithms, independent component analysis, commonly used for facial image recognition, speech recognition, etc.
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支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。- Support
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用ＭＡＴＬＡＢ 进行人脸方向识别，适合做学习模式识别以及机器学习的同学学习-Using MATLAB face direction recognition, suitable for studying pattern recognition and machine learning of students learning
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不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elem
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经典书籍“Pattern Recognition And Machine Learning”，含大量实例与源码-Classic book Pattern Recognition And Machine Learning , containing a large number of examples and source codes.
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Gaussian classifier and some important homework material usual machine learning pattern recognition courses-Gaussian classifier and some important homework material usual machine learning pattern recognition courses
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将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性，与PCA区别：LDA考虑分类标签，属于有监督分类。-Linear discriminant analysis (LDA) is a generalization of Fisher s linear discriminant, a method used in statistics, pattern recognit
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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变分贝叶斯高斯过程混合模型源码，主要基于pattern recognition and machine learning 这本书。-22 Oct 2008
gmmVBEM.m is the main file for VBEM
Main file needs
MyEllipse.m for plotting
Netlab gmmem for initialization
Following example file illustrates the usa
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The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a framework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use.
Create a data set your data (X ~ N x F) and labels (Y ~ N x 1):
ds = prtDataS
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Pattern Recognition and Machine Learning Toolbox
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Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别，基于GMM的图像分割，使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)
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