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Interior Point Optimizer for SVM Pattern Recognition的原程序-Interior Point Optimizer for Pattern Recognition SVM's original procedures
Date : 2026-01-10 Size : 44kb User : dy

水波算法是一种经典的模式识别技术,对于研究识别的学生有一点的参考价值!-wave algorithm is a classic pattern recognition technology for research to identify students with the point of reference value!
Date : 2026-01-10 Size : 7kb User : 阿科

贝叶斯分类器的C++源码,用IRIS作类例子,通俗易懂,适合作模式识别、图像处理研究开发用!-Bayesian classifier C source code, using IRIS category for example, easily understood and suitable for pattern recognition, Image processing research and development with!
Date : 2026-01-10 Size : 15kb User :

贝叶斯分类实验 模式识别课程实验所用的源程序-Bayesian classifier experimental pattern recognition programs used in the experimental program
Date : 2026-01-10 Size : 6kb User : 王旺

DL : 0
人工神经网络在模式识别,预测等领域广泛应用,ART和BP是常用的形式。-artificial neural networks in pattern recognition and prediction extensive application of ART and BP is commonly used forms.
Date : 2026-01-10 Size : 83kb User : 王海荣

DL : 0
模式识别的聚类方法:C-均值算法,求得不同的分类-Pattern Recognition Clustering Method: C-means algorithm to obtain the classification of different
Date : 2026-01-10 Size : 1kb User : mushi

完整的模式识别库,包括矩阵运算,各种模式识别算法,如K均值、SVM、RVM、NN、LDA等-Complete pattern recognition library, including matrix computation, a variety of pattern recognition algorithms, such as K-means, SVM, RVM, NN, LDA, etc.
Date : 2026-01-10 Size : 1.11mb User : mountyang

DL : 0
模式识别的C均值聚类算法,用C语言编写的,可运行-Pattern Recognition of C-means clustering algorithm, using C language and can run
Date : 2026-01-10 Size : 165kb User : HY

支持向量机作为统计学习理论的实现方法,能很好地解决非线性和高维数问题,克服了神经网络方法收敛慢、解不稳定、推广性差的缺点,近年来得到了广泛地研究,在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.
Date : 2026-01-10 Size : 2.56mb User : 王旭

DL : 0
孙即祥,现代模式识别,第2.4.2节关于相似性阈值聚类仿真实验。-modern pattern recognition,2.4.2,sun jixiang
Date : 2026-01-10 Size : 2kb User : zcn

模式识别的各种计算方法,包括贝叶斯等方法-Pattern recognition of various calculation methods, including Bayesian methods such as
Date : 2026-01-10 Size : 461kb User : 张和

张学工老师模式识别第一次作业,用贝叶斯方法和正态分布的监督参数估计对身高体重二维数据进行性别分类-Zhang engineering teacher pattern recognition for the first time operations, using Bayesian methods, and the supervision of normal height and weight of two-dimensional parameter estimation of the gender-disaggregated data
Date : 2026-01-10 Size : 120kb User : 陈皓

张学工老师模式识别第四次作业,分别用C均值方法,分层聚类方法和非监督参数下正态分布函数估计的贝叶斯决策对身高体重二维数据进行分类。-Zhang engineering teacher fourth pattern recognition operations, respectively C-means, hierarchical clustering methods, and non-normal distribution function under the supervision of the estimated parameters of Bayesian decision-making on height and weight, two-dimensional data classification.
Date : 2026-01-10 Size : 140kb User : 陈皓

一个简单介绍ZERNIKE矩的文章,zernike矩是一种在图像处理、模式识别中广泛应用的方法-ZERNIKE a brief moment of articles, zernike moment is a kind of image processing, pattern recognition methods widely used in
Date : 2026-01-10 Size : 667kb User : DZ

矩是一种在图像处理和模式识别中,广泛应用的方法。这篇文章简单介绍了矩的概念。-Moment is a kind of image processing and pattern recognition, the widely used method. This article briefly introduced the concept of moments.
Date : 2026-01-10 Size : 809kb User : DZ

本文针对几种有代表性的流形学习算法进行了深入的研究,主要探讨了流形学习的框架理论相关研究及其在模式识别中的应用。 -In this paper, a representative of several manifold learning algorithms in-depth study, which focused on the theoretical framework of manifold learning research and its application in pattern recognition.
Date : 2026-01-10 Size : 5.42mb User : 逍遥

DL : 0
用于将数据进行分类,对学习模式识别的朋友会非常有用-Used for data classification, pattern recognition learning can be very useful friends
Date : 2026-01-10 Size : 83kb User : 陈龙

一个简单的感知器算法,同样,对于学习模式识别的朋友会非常有用-A simple perceptron algorithm, and similarly, for learning pattern recognition will be very useful friends
Date : 2026-01-10 Size : 70kb User : 陈龙

In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is deferred until classification. The k-nearest neighbor algorithm is amongst the simplest of all machine learning algorithms: an object is classified by a majority vote of its neighbors, with the object being assigned to the class most common amongst its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of its nearest neighbor.
Date : 2026-01-10 Size : 576kb User : bwindhya

在网上找到的一个模式识别工具箱,希望对大家有用进行多种分类-On the Internet to find a pattern recognition toolbox, hope to be useful for a variety of classification
Date : 2026-01-10 Size : 286kb User : ptacemenp
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