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模式识别中的（近邻）算法的实现，很有帮助的-Pattern Recognition (K neighbors) algorithm, useful
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基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由
于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份
验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征，
它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来
越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科
的研究热点。-Based on wavelet analysis and princ
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关于支持向量机的算法 支持向量机在解决小样本、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-On support vector machine support vector machine algorithm to solve small sample, nonlinear and high dimensional pattern recognition showed the advantage of many special, and can be
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此前文章以发表，它叙述关于心理识辨，对研究此领域的朋友很有帮助-this published paper presents the mind-reading recognition. it is helpful to people who has interest in pattern recognition.
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支持向量机软件的使用说明，从外国网站下，下载的，希望对模式识别研究的学生有帮助啊-Support vector machine software instructions from a foreign website, the download and hope for pattern recognition research students to help ah
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Along with investigating similarity metrics between audio
material, the topic of robust matching of pairs of audio content
has gained wide interest recently. In particular, if this matching
process is carried out using a compact representation
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针对链码不变矩的一写描述，希望对大家有很大的帮助-Extracting or construction of the invariant features is one of the key technologies in
the field of pattern recognition and computer vision.
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Pattern Recognition and Machine Learning Solutions to the Exercises
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模式识别中识别字母K的matlab源代码，代码详细有注释-Identify the letter K pattern recognition matlab source code, Detailed annotated code
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主动学习，也是模式识别方向的有关论文，有兴趣的可以下来-Active learning, but also the direction of the pattern recognition of relevant papers, who are interested can look down
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LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用，该文本为其说明文件-The LIBSVM Taiwan University Chih- Jen Lin (Lin Chih-Jen) associate development and design of a simple, easy to use
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PATTERN RECOGNITION
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通过对K-均值算法的编程实现，加强对该算法的理解和认识。提高自身的知识水平和编程能力，认识模式识别在生活中的应用-Through the K-means algorithm programming to enhance understanding and knowledge of the algorithm. Improve their level of knowledge and programming capabilities, understanding of pattern recogn
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这是一篇关于多个物体类的协同分割应用到视频分割的论文。-Multi-Class Video Co-Segmentation with a Generative Multi-Video Model ；2013 IEEE Conference on Computer Vision and Pattern Recognition
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This paper describes about the support vector machines. It is a pattern recognition mechanism for classification of data.Support vector machine is most commonly used for binary classification
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The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in
which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used i
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模式识别下的Fisher线性判别分析在VC++下的实现。-Fisher linear discriminant analysis pattern recognition under achieved under VC++' s.
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In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to ta
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pattern recognition an classifivation
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