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Pattern Recognition and Machine Learning.zip
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(Theodoridis)Pattern Recognition.zip
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08和07年IEEE TRANSACTION的关于小波支持向量机的2篇文献.是多尺度方法在模式识别中的经典,请大家共享.-08 and the 2007 IEEE TRANSACTION on wavelet support vector machine literature 2. Is a multi-scale method in the classical pattern recognition, please share.
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it is a good paper about of pca in pattern recognition problems.
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此pdf格式文本资料是关于进化合成模式识别系统的理论书籍-Evolutionary Synthesis of Pattern Recognition Systems
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This is simple sistem for pattern recognition to recognize some kind of fish.
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和当时最热的《模式识别与机器学习》对应的课件-the hottest book of Pattern Recognition and Machine Learning corresponding courseware
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关于模式识别过程中,利用ZERNIKE矩的方法,防止角度偏差对识别效果的影响-On the pattern recognition process, the use of ZERNIKE moment method, to prevent the angle of deviation of the recognition effect
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PRTools4
A Matlab Toolbox for Pattern Recognition
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Pattern Recognition and Machine Learning
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An introduction to pattern recognition using a matlab approach.
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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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2011年模式识别快讯上的文章,讲述了一种ISOMAP降维中选择邻域的方法。-News on Pattern Recognition 2011, an article about a ISOMAP dimension reduction method of selecting the neighborhood.
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Pattern Recognition using Fuzzy logic
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< 现代模式识别>>孙即祥著 适用于模式识别专业课的学习-modern pattern recognition
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Pattern Recognition and Machine Learning Solutions to the Exercises
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本书介绍广泛应用的人工智能技术——模式识别及其应用的最新进展,收集了世界一流的模式识别、人工智能和生物特征识别技术领域专家编写的31章内容,涵盖模式识别与机器智能、计算机视觉与图像处理、人脸识别与取证、生物特征身份验证等多方面结合的研究。其应用跨越多个领域,从工程、科学研究和实验,到生物医学和医学诊断,再到身份认证和国土安全。此外,《本书还介绍了人类行为的计算机建模和仿真。-Insights into a pattern-based method of trading that can inc
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一本很好的关于模式识别和机器学习的书籍,外文的,很清晰,讲解的很透彻易懂。-A very good foreign language books on pattern recognition and machine learning, clear, interpretation of also is very clear and easy to understand.
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人工智能模式识别技术在自动话流水线生产方面的研究-Artificial intelligence, pattern recognition technology research in automatic production line
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文章拟采用机油和油菜的高光谱图像数据为具体对象,分别从光谱特性分析和图像特性分析两个角度,采用流形学习方法探索一种从非线性高光谱图像数据中提取低维本质信息的方法,结合支持向量机、线性判别分析等模式识别方法建立机油品种和油菜品种的识别模型
-Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral chara
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