Description: 这个为模式识别工具箱，里面有很多源代码，希望对学习模式识别的读者有用。-pattern recognition to the toolbox, which contains many source code, and I hope to learn a useful pattern recognition readers. Platform: |
Size: 627712 |
Author:覃美凤 |
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Description: 一个模式分类的工具箱，matlab语言实现，对模式识别相关方向的人很有用-pattern classification of a toolbox, Matlab language, pattern recognition related to the direction of useful Platform: |
Size: 353280 |
Author:liu yang |
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Description: sltoolbox (Statistical Learning Toolbox) organizes a comprehensive set of matlab codes in statistical learning, pattern recognition and computer vision. It includes 256 m-files in 24 categories, which are from low-level computational routines to high-level frameworks and algorithms Platform: |
Size: 5155840 |
Author:王冰 |
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Description: libsvm工具箱，用于人脸识别等模式识别，非常好用，效率较高-libsvm toolbox for pattern recognition such as face recognition, very easy to use, more efficient Platform: |
Size: 414720 |
Author:laosee |
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Description: 从一个模式识别toolbox中摘取的计算zernike不变矩的源代码，结果为图像的n阶m重zernike不变矩-From a pattern recognition toolbox extracted Zernike moment invariants calculation of the source code, the results of image re-n-order m Zernike moment invariants Platform: |
Size: 28672 |
Author:bill |
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Description: 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic model best illustrates
intuition and analysis techniques while still containing the essential
features and serving as a prototype for many applications.
Topics discussed include nearest neighbor, kernel, and histogram
methods, Vapnik–Chervonenkis theory, and neural networks. The
presentation and the large (thogh nonexhaustive) list of references
is geared to provide a useful overview of this field for both
specialists and nonspecialists.-Summary of pattern recognition learning. The paper for English 303 references. Very readable value. Abstract-Classical and recent results in statistical patternrecognition and learning theory are reviewed in a two-classpattern classification setting. This basic model best illustratesintuition and analysis techniques while still containing the essentialfeatures and serving as a prototype for many applications.Topics discussed include nearest neighbor, kernel, and histogrammethods, Vapnik-Chervonenkis theory, and neural networks. Thepresentation and the large (thogh nonexhaustive) list of referencesis geared to provide a useful overview of this field for bothspecialists and nonspecialists. Platform: |
Size: 821248 |
Author:蒋大为 |
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Description: Matlab神经网络工具箱应用简介
神经网络已经在各个领域中应用，以实现各种复杂的功能。这些领域包括：模式识别、
鉴定、分类、语音、翻译和控制系统。
如今神经网络能够用来解决常规计算机和人难以解决的问题。我们主要通过这个工具箱
来建立示范的神经网络系统，并应用到工程、金融和其他实际项目中去。-Matlab neural network toolbox application profile neural network has been applied in various fields in order to achieve a variety of complex functions. These areas include: pattern recognition, identification, classification, voice, translation and control systems. Today neural networks can be used to conventional computers and people to solve difficult problems. We mainly through the toolbox to create a model of neural network systems, and applied to the engineering, financial and other practical projects. Platform: |
Size: 244736 |
Author:sff |
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Description: 一个强大的统计模式识别工具箱，包含高斯分类器，高斯混合模型，主成分分析，支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification methods. Platform: |
Size: 1253376 |
Author:何威 |
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Description: 模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.-Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on. Platform: |
Size: 334848 |
Author:吴守泉 |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
Size: 4271104 |
Author:查日东 |
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Description: 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09，在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法，比如SVM，PCA，LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类，效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of ways for paater classification, such as SVM, PCA, LDA, etc. I hope it is helpful for readers. Platform: |
Size: 5998592 |
Author:Mountain |
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Description: stpr statistical toolbox of pattern recognition 提供了模式识别中很多常见的算法函数-stpr statistical toolbox of pattern recognition provides a pattern recognition algorithm in the function of many common Platform: |
Size: 4217856 |
Author:yaowei |
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Description: 有关模式识别的工具箱的使用，在c开发环境下，有关模式识别的一些算法，也可以用于SVM等算法功能实现-The pattern recognition toolbox use, in c development environment, the pattern recognition of some of the algorithm, can also be used for SVM) functions
Platform: |
Size: 17408 |
Author:追风少年 |
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Description: introduction and codes of using statistical pattern recognition toolbox in matlab.THIS is useful tutorial among many. Platform: |
Size: 983040 |
Author:tursunwali |
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