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VQ声纹识别算法和实验.
摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．-VQ pattern recognition algorithms and experimental sound. Ab
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模式识别相关论文集合，包含BO神经网络，支撑向量机等-Collection of pattern recognition related papers, including the BO neural networks, support vector machines
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人脸识别 特征提取 代数特征抽取 子空间学习 投影寻踪 仿生模式识别 核方法-Face recognition feature extraction feature extraction algebra subspace projection pursuit learning pattern recognition of nuclear methods
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这是仿生模式识别和拓扑模式识别的一篇论文，提出了一种新的模式识别方法和应用的模型-this is a paper about Bionic (Topological) Pattern Recognition
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[模式识别](Pattern.Recognition)Theodoridis,.Koutroumbas,.文字版-[Pattern Recognition] (Pattern.Recognition) Theodoridis,. Koutroumbas,. Text Version
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Pattern Recognition and Machine Learning
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2011最新 结构和统计模型相结合的模式识别方法展望-Towards the Unification of Structural and Statistical Pattern Recognition
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学习模式识别的经典之作！内容丰富，值得大家好好揣摩学习！-Learning pattern recognition classic! Rich in content, worth a good try to figure out to learn!
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模式识别与机器学习，主要从算法与原理的角度来讲述-Pattern recognition and machine learning, mainly from the perspective of algorithm and theory about
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Statistical Pattern Recognition Toolbox for Matlab，Technical University Prague
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模式识别程序，包括Isodata,C均值,最大最小值以及H-k算法-Pattern recognition sources, including Isodata, H-k algorithm,and so on
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A.K.Nandi和E.E.Azzouz的期刊文献，是关于自动调制识别的经典文章，他们在基于模式识别方式上提出的自动识别的几个特征参数，是当前该领域研究的基础，对该领域研究来说有很大参考价值。-AKNandi and EEAzzouz of journal articles, is about the automatic modulation recognition of the classic article, based on pattern recognition in the way t
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模式识别，国外一本经典的模式识别书籍，完整的-Pattern recognition, a foreign classic pattern recognition books, complete
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图像处理及模式识别代码 包含常用的图像处理技术和模式识别的基本方法-image processing code and pattern recognition function。
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Visual C++数字图像模式识别技术及工程实践-源代码,包含电子书及各章源代码。比较实用-vc++ pattern recognition
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The aim of this book is to serve pedagogic goals a complement of the book Pattern Recognition,
4th Edition, by S. Theodoridis and K. Koutroumbas (Academic Press, 2009). It is the offspring of
our experience in teaching pattern recognition for a n
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GIS Pattern recognition paper
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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.
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Pattern Recognition and Machine Learning
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《模式识别与智能计算》介绍了各种模式识别的方法，并以数字识别为例对各种算法进行了描述与实现。
文件中还有该书的光盘文件-" Pattern Recognition and Intelligent Computing" describes a variety of pattern recognition, and digital identification, for example the various algorithms are described and imple
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