搜索资源列表
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3下载：
模式识别与机器学习 英文版 课后习题答案！-Pattern recognition and machine learning English exercise answers!
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模式识别经典书籍。清晰地阐明了模式识别的经典方法和新方法，包括神经网络，随机方法，遗传算法以及机器学习理论。-Pattern Recognition classic books. Spell out the classic pattern recognition methods and new methods, including neural networks, stochastic methods, genetic algorithms and machine learning theory
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选用支持向量机作为区分文本与非文本的分类器，支持向量机是在统计学习理论基础上发展起来的新一代学习算法，它在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势。-Use support vector machine as the distinction between text and non-text classifier, support vector machine is in statistical learning theory developed on the basis of
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这是一本系统介绍模式识别和机器学习的书，书中详细的介绍了模式识别的基本理论和各种模型方法，并有应用举例-This is a systematic introduction of pattern recognition and machine learning book, the book describes in detail the basic theory of pattern recognition methods and a variety of models, and applicat
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“模式识别和机器学习”作者是Christooher M. Bishop,是模式识别和人工智能领域比较经典的学习材料。-"pattern recognition and machine learning" writen by Christooher M. Bishop——classical learning material in PR and AI area.
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模式识别与机器学习，国外经典图书，PDF矢量版，英文版。PR，ML类必看图书-Pattern Recognition And Machine Learning
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模式识别与机器学习书的答案，找了很久才找到的，共享出来-Pattern recognition and machine learning the answer to the book, looking for a long time to find, and share out
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支持向量机SVM(Support Vector Machine)它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support Vector Machine SVM (Support Vector Machine) it addresses the small sample, nonlinear and high dimensional pattern recognition performance of many unique adva
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Pattern Recognition and Machine Learning.
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支撑向量机它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-Support vector machine to solve it in a small sample, nonlinear and high dimensional pattern recognition performance of the many unique advantages, and to promote the use of the function fitt
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Pattern recognition has its origins in engineering, whereas machine learning grew
out of computer science. However, these activities can be viewed as two facets of
the same field, and together they have undergone substantial development over the
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Pattern Recognition and Machine Learning by Cristopher Bishop
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图像处理论文，希望对大家有帮助。都是关于模式识别和机器学习之类的-Image processing paper, we want to help. All about pattern recognition and machine learning class
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FCM算法的MATLAB实现，适用于模式识别、机器学习等-FCM algorithm in MATLAB for pattern recognition, machine learning and so on. . . . . . .
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支持向量机(Support Vector Machine，SVM)是Corinna Cortes和Vapnik8等于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-SVM (Support Vector Machine, SVM) was Corinna ms Cortes and Vapnik8 is first proposed in 1995, it is to solve the small sample,
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最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
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PCA人脸识别，用于机器学习及模式识别课程。matlab源程序。-PCA face recognition, machine learning and pattern recognition for the courses. matlab source.
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在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
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（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。
（2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。
（3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量；
然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each p
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