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可以分别介绍度量距离的KNN分类器英文论文,有欧式和马氏距离。对模式识别十分重要的作用,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-KNN classifier can respectively introduces measure distance English papers, style and markov distance. For pattern recognition is an important role, can help beginners a bet
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本文介绍了基于模式识别的电器故障检测方法,使用这种方法可以实现故障检测。-This article describes the electrical fault detection method based on pattern recognition, using this method can realize fault detection.
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是一篇关于表面肌电信号处理的文章,主要是下肢sEMG模式识别方面的。-Is an article about the surface EMG signal processing, mainly lower limb sEMG pattern recognition.
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介绍了集中典型的模糊模式识别方法,希望对大家有帮助-Introduces several typical fuzzy pattern recognition method, we hope to help
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人脸识别技术作为生物体特征识别技术的重要组成部分,在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法(PCA)在人脸识别中的应用,在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真,并对样本图像进行了重构。本实验在ORL人脸库的基础上,选用每人前5张图片,共计40人200幅样本图像,通过快速PCA算法将10304维的样本特征向量降至20维,并实现了基于主分量的人脸重建,验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Fac
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pattern recognition an classifivation
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Pattern Recognition and
Machine Learning
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核稀疏用于字典学习和稀疏表示,可用于纹理分类等模式识别问题。-Nuclear sparse dictionary for learning and sparse representation can be used for texture classification pattern recognition problem.
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e: Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the ori
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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。
算法思想K-均值算法的主要思想是先在需要分类的数据中寻找K组数据作为初始聚类中心,然后计算其他数据距离这三个聚类中心的距离,将数据归入与其距离最近的聚类中心,之后再对这K个聚类的数据计算均值,作为新的聚类中心,继续以上步骤,直到新的聚类中心与上一次的聚类中心值相等时结束算法。-By programming K- means algorithm implementation, s
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计算机视觉的部分新成果介绍-上海交通大学-图像处理与模式识别研究所-杨杰教授-Some of the new achievement of computer vision Introduction- Shanghai Jiaotong University- Institute of Image Processing and Pattern Recognition- Professor Yang Jie
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Image segmentation is one of the most studied problems in image analysis, computer vision,
pattern recognition etc. Edge detection is a discontinuity based approach used for image
segmentation. An edge detection using fuzzy set is proposed here,
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PRTools4
A Matlab Toolbox for Pattern Recognition
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采用的是脉冲对消法,BP神经网络用于函数拟合与模式识别,采用的是通用的平面波展开法。- It uses a pulse of consumer law, BP neural network function fitting and pattern recognition, Using common plane wave expansion method.
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有详细的注释,解耦,恢复原信号,可以实现模式识别领域的数据的分类及回归。- There are detailed notes, Decoupling, restore the original signal, You can achieve data classification and regression pattern recognition.
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可直接计算得到多重分形谱,可以实现模式识别领域的数据的分类及回归,可以广泛的应用于数据预测及数据分析。- It can be directly calculated multi-fractal spectrum, You can achieve data classification and regression pattern recognition, Can be widely used in data analysis and forecast data.
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BP神经网络用于函数拟合与模式识别,关于非线性离散系统辨识,对HARQ系统的吞吐量分析。- BP neural network function fitting and pattern recognition, Nonlinear discrete system identification, HARQ throughput analysis of the system.
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最小均方误差(MMSE)的算法,Gabor小波变换与PCA的人脸识别代码,模式识别中的bayes判别分析算法。- Minimum mean square error (MMSE) algorithm, Gabor wavelet transform and PCA face recognition code, Pattern Recognition bayes discriminant analysis algorithm.
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已调制信号计算其普相关密度,有小波分析的盲信号处理,BP神经网络用于函数拟合与模式识别。- Modulated signals to calculate its density Pu-related, There Wavelet Analysis Blind Signal Processing, BP neural network function fitting and pattern recognition.
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包含收发两个客户端的链路级通信程序,可以实现模式识别领域的数据的分类及回归,该函数用来计算任意函数的一阶偏导数(数值方法)。- Contains two clients receive link-level communications program, You can achieve data classification and regression pattern recognition, This function is used to calculate the arbitrary f
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