Description: 使用cutesvm可以利用svm方法进行模式识别里的的分类和回归等相关操作.方便易行.-use cutesvm can use svm Lane pattern recognition methods for the classification and the return of other related operations. User-friendly. Platform: |
Size: 211968 |
Author:质量 |
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Description: 一个用java写的回归分析的类，可用于预测、模式识别-write with a regression analysis of the category, can be used to predict, pattern recognition Platform: |
Size: 3072 |
Author:雷天无 |
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Description: Standord Classifier实现了一个基于Java的最大熵分类器。用于模式识别，特别是自然语言处理方面的应用。-Stanford Classifier achieved a Java-based Maximum Entropy classifier. For pattern recognition, especially natural language processing the application. Platform: |
Size: 235520 |
Author:王志强 |
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Description: C均值法，用于模式识别中的聚类算法。非常好用！-C- Means method for pattern recognition algorithm for clustering. Very handy! Platform: |
Size: 2048 |
Author:xiaote |
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Description: 模式识别中K均值、ISODATA等聚类算法以及感知器线性判别算法的Java实现，源码包含一个完整的Eclipse工程，便于重用-Pattern Recognition in the K-means, ISODATA clustering algorithm, etc., as well as Linear Discriminant Perceptron Algorithm Java realized, contains a complete source Eclipse project, to facilitate reuse Platform: |
Size: 351232 |
Author:YSH |
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Description: 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. Platform: |
Size: 1166336 |
Author:mountyang |
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Description: 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；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。-LIBSVM is林智仁Taiwan University (Lin Chih-Jen), associate professor of design, such as the development of a simple, easy-to-use and fast and efficient pattern recognition and regression SVM package, he compiled to provide not only a series of systems in the Windows implementation of file , also provided the source code to facilitate the improvements, modifications as well as in other operating systems applications the software also has a feature of SVM is to adjust the parameters involved are relatively small, with a lot of the default parameters, use the default parameters can solve many problems and to provide a cross-validation (Cross Validation) function. Platform: |
Size: 78848 |
Author:陈耀宇 |
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Description: 一个java程序编写的svm支持向量机小程序，用来模式识别领域，主要用来分类-A java program prepared by support vector machine SVM applet to the field of pattern recognition, mainly used classification Platform: |
Size: 32768 |
Author:shenchen |
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Description: 人脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容。如今，虽然在这方面的研究已取得了一些可喜的成果-Face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also has a relatively wide range of applications meaning. Face recognition technology is a very active area of research, which covers digital image processing, pattern recognition, computer vision, neural networks, psychology, physiology, mathematics and many other subjects content. Today, although research in this area have been some encouraging results Platform: |
Size: 4096 |
Author:ldj |
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Description: LIBSVM的JAVA版源代码，LIBSVM是一个简单、易于使用和快速有效的SVM模式识别与回归的软件包-LIBSVM the JAVA version of the source code, LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package Platform: |
Size: 2873344 |
Author:xygggxy |
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Description: 这是模式识别中的决策树那一章中的ID3算法，包含很多文件-This is a pattern recognition decision tree ID3 algorithm of the chapter, contains many files Platform: |
Size: 60416 |
Author:王雨 |
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Description: Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition
Explore the Java multi-platform feature to run your personal neural networks everywhere
This step-by-step guide will help you solve real-world problems and links neural network theory to their application Platform: |
Size: 5160960 |
Author:sanMatlab |
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Description: 用java实现混合高斯模型，做特征分类，模式识别等应用(The hybrid Gauss model is implemented by Java, and the feature classification and pattern recognition are performed) Platform: |
Size: 13312 |
Author:qingfenglife
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Description: Use of natural gradient algorithm, You can achieve data classification and regression pattern recognition, This program has exceeded the performance of other algorithms. Platform: |
Size: 9216 |
Author:yunnenquilen
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